Awesome-TCM-LLM · Catalog
TCM LLMs
A living catalog of Traditional Chinese Medicine large language models (TCM LLMs): which models exist, plus papers, surveys, benchmarks, datasets, and patents. This page is the web edition of Awesome-TCM-LLM, maintained by Yang Tan and synced with the GitHub README.
What is a TCM LLM?
A TCM LLM (Traditional Chinese Medicine large language model) is a large language model trained or fine-tuned for the domain of Traditional Chinese Medicine. These models are typically built on general-purpose Chinese foundation models (such as Qwen, ChatGLM, Baichuan, or LLaMA) and further adapted with domain corpora — classical TCM canons, renowned physicians' case records, herbal formula knowledge, clinical guidelines, and consultation dialogues — acquiring capabilities such as syndrome differentiation (辨证论治), herbal formula recommendation, TCM knowledge question answering, and understanding of the four diagnostic methods (inspection, listening/smelling, inquiry, and palpation).
Since the first wave of TCM LLMs in 2023 — BianQue, HuaTuoGPT, and ShenNong-TCM-LLM — the field has grown rapidly, now spanning intelligent consultation, clinical decision support, TCM education, licensing-exam evaluation, and knowledge-graph construction, including multimodal systems such as ShizhenGPT that handle tongue and facial imagery. This page tracks model releases, academic papers, benchmarks, open datasets, and related patents in the TCM LLM space.
Representative TCM LLMs
- BianQue (扁鹊): proactive-health large language model for Chinese living spaces (2023)
- HuaTuoGPT: large language model trained on Chinese medical corpora (2023)
- ShenNong-TCM-LLM (神农): large-scale TCM language model with instruction data and open weights (2023)
- ZhongJing (仲景): expert-knowledge-guided TCM LLM with vertical-domain fine-tuning (2025)
- Qibo (岐伯): continued pretraining + SFT for syndrome differentiation and QA, with the Qibo Benchmark (2025)
- ShizhenGPT: multimodal TCM LLM supporting the four diagnostic methods (2025)
- Baize-TCM-LLM (白泽): Qwen3-based TCM QA model series from the Institute of Chinese Materia Medica, CACMS (2025)
- TCMChat: generative TCM LLM with a 600k-sample herbal-knowledge dialogue dataset (2025)
- Xinghe (杏核): Xinghe-TCM Neijing reasoning model on Qwen3.5-9B with open weights (2026)
- ZhiFangDanTai (知方丹台): GraphRAG + fine-tuning formula model from Capital Normal University and UQ, with open weights (2025)
- XuanHuGPT (悬壶): parameter-efficient fine-tuned TCM domain LLM (2025)
- MedChatZH: first-author work — a Baichuan-7B model fine-tuned for Chinese medical / TCM consultation
See the full catalog below — filterable by type and year.
TCM LLM benchmarks & datasets
- TCMBench: comprehensive benchmark for evaluating LLMs in the TCM domain
- MTCMB: multi-task TCM benchmark — 12 subsets, ~7,100 samples covering knowledge, reasoning, formulas, and safety
- TCM-Eval: evaluation dataset for TCM LLMs
- TCMChat-dataset-600k: 600k herbal-knowledge dialogue samples for fine-tuning
- ShenNong_TCM_Dataset: instruction data released with the ShenNong model
- Survey of key technologies for TCM LLMs (IJPRAI): systematic review of knowledge organization, assisted diagnosis, and clinical decision support
Browse by topic
- Open TCM LLMs: public weights and representative systems
- TCM LLM datasets: instruction data, cases, benchmarks
- TCM LLM surveys: diagnosis, multimodal, agents, evaluation
- TCM LLM patents: inquiry, formulas, knowledge graphs, and RAG
What you will find
- Selected news on products, policy, and open releases
- Open-weight and multimodal TCM LLM systems
- Named hospital and company TCM models, including Guangyi Qizhi, Shuzhi Qihuang, Tianhe Lingshu, and Xinhuo Zhongguoyao
- Benchmarks, evaluation suites, and surveys
- Pretraining and SFT datasets, institutional case libraries and classical corpora, national standards, and East Asian or ethnic-medicine databases
- Invention patents on TCM LLMs, knowledge graphs, and intelligent inquiry
Catalog
Updated: 2026-10-25 · 880 entries (11 open models · 186 datasets · 71 surveys · 69 patents)
All resources
TCM LLM news, papers, surveys, datasets, open weights, and patents — filter by type and year.
Reports say Nanjing University of Chinese Medicine released the LingSu Aihu TCM nursing model on 9 October; 27 member hospitals are the first sites.
China News Service reports that the formula-syndrome model opened for access on 19 September, covering assisted care, research mining, and training, with planned deployment at Longhua Hospital.
Beijing University of Chinese Medicine debuts a TCM constitution-identification system and an embodied tuina robot at the CIFTIS 2026 TCM pavilion.
Guang'anmen Hospital shows Guangyi Qizhi 2.0 at CIFTIS 2026, with AI doctor An'an covering six hospital scenes from patient service to ward management.
Southern Finance reports that Guangzhou University of Chinese Medicine continued-trains a general model on about 2 billion TCM tokens into the Xinglin teaching model, now piloted in three core courses.
The university site says the Qian Xiaoxing medical model was released on 27 August 2026, trained on TCM literature, expert experience, and clinical data for diagnosis support, constitution identification, wellness advice, and medication guidance.
基于生成式模拟医案构建的定制化中医处方推荐大模型
A rule engine enumerates structured TCM features, an LLM turns them into simulated cases, and those cases fine-tune a customized prescription model (published, not granted).
一种面向中医药知识图谱的综合质量评估方法
Sends a small sample to a TCM-tuned large model for a preliminary quality check of a TCM knowledge graph (published, not granted).
TCM dialogue generation with a large language model and long-term memory
Generates personalized TCM dialogue from a long-term memory bank and user portrait (published, not granted).
从大语言模型到智能体（兰州大学学报医学版综述）
Chinese-language systematic review organized around the LLM-to-agent transition for TCM clinical assisted diagnosis and treatment (J. Lanzhou Univ. Med. Sci. 2026;52(4):49-57).
Xinhua reports that in July 2026 the national medical AI pilot base released five results in Henan, including a meridian-diagnosis model, an esophageal-cancer model, a TCM dataset, a Chinese-medicine R&D model, and a famous-doctor agent.
一种融合时空特征的针灸推理模型构建方法、系统及设备
Aligns four-examination and course features, retrieves past acupuncture plans, and uses a fine-tuned LLM with chain-of-thought for an explainable plan (published, not granted).
基于知识图谱与大语言模型的脾胃学派理法方药分析系统
Combines a spleen-stomach school knowledge graph, vector retrieval, and an LLM for formula selection, safety checks, and prescription writing (published, not granted).
一种基于大语言模型的中医古籍症状标准化处理方法
An LLM finds candidate symptom spans in sliced classical TCM texts and maps them into a standard symptom semantic field (published, not granted).
Digital inheritance and analysis of Zhang Xichun's theory, method, formula, and herbs
Rule engine plus three-way retrieval and an LLM for Zhang Xichun school analysis (published, not granted).
Beyond the Poetic Bard（中医AI翻译评论）
Beyond the Poetic Bard: a perspective on accuracy, epistemology, and medical-context limits of generative-AI translation of TCM texts (Translation Review).
Hybrid Retrieval + Re-ranking TCM Prescription Generation
Hybrid retrieval with re-ranking to enhance LLM-based TCM prescription generation (Springer CCIS conference paper).
TCM-RobustSDT
TCM-RobustSDT: a robustness benchmark dataset for LLM clinical reasoning in TCM (Figshare).
Agentic and Knowledge-Grounded LLMs in TCM（预注册）
A review plan registered on OSF in July 2026. It will look at agentic and knowledge-grounded language models in TCM through evidence maps, text mining, and whether they are ready for clinical use. The review is still underway.
Patient-Conditioned Dual Hypergraph Reasoning
Patient-conditioned dual-hypergraph reasoning for auditable TCM prescription support, organizing symptom/tongue/pulse evidence around patterns and treatment principles (Tianjin University).
Insightful Eye presents Bianshi Cloud TCM at WAIC 2026, built on a registered Bianshi multimodal model with four-diagnosis devices and assisted-care systems.
Andun Health debuts a seven-diagnosis TCM robot at WAIC 2026, integrating face, infrared face, tongue, ear, auscultation, inquiry, and pulse. The page cites a 235-billion-parameter TCM model and does not mention TianHui.
Guizhou Medical University and partners launch HuaZu BenCao, a national ethnic-medicine AI platform built on ShuZhi QiHuang + Qwen integrating multi-ethnic materia medica classics.
Shanghai Seventh People's Hospital (SHUTCM) releases the Qiyuan TCM LLM with pretraining, domain fine-tuning, and expert RL; supports generative medical records and master-physician Agent digital twins; showcased at WAIC.
一种面向中医方剂推荐的知识图谱大模型问答方法及系统
Encodes a case with a Chinese instruction LLM, fuses it with a dynamic TCM knowledge graph, and returns formula recommendations as answers (published, not granted).
基于大语言模型的中医智能问诊方法及系统
Intent is parsed from multimodal inquiry data, then dual-path retrieval over TCM knowledge produces the consultation result (published, not granted).
基于多模态中医大语言模型的数据分析方法、系统、终端及介质
Trains a multimodal TCM large model on tongue images, speech, and inquiry text, then outputs a preliminary TCM analysis. Granted on 12 June 2026.
辅助诊断结果和参考处方生成方法、装置、介质及计算机设备
Recalls case records and treatment rationales through vector and text paths, four routes in all, then a large model drafts TCM diagnosis, syndrome pattern, a Western diagnosis, and a herbal prescription. Published on 2 June 2026 and not yet granted.
中医大模型关键技术综述（IJPRAI）
Survey of key technologies for TCM LLMs: knowledge organization, aided diagnosis, and clinical decision support (formally published in IJPRAI, World Scientific).
DeepTCM1.0
DeepTCM1.0: 11-expert multi-agent system on DeepSeek V3.2 for interpreting TCM formula mechanisms (Guizhi Decoction case); now on arXiv after the Research Square preprint.
DeepRoot
Multi-agent pipeline that turns the Shen Nong Ben Cao Jing into a verified Neo4j graph for therapeutic reasoning; code and evaluation scripts are public.
Evidence-Based TCM Visualization Diagnosis System
Evidence-based TCM visualization diagnosis system: Neo4j knowledge graph (241 patterns, 1,263 symptoms) with four-stage symptom matching (LLM-verified) and information-gain-driven active inquiry.
Zhongke Wenge passes HKEX listing hearing; reports note the DaYi JinKui TCM LLM (with CACMS) has obtained top-tier CAICT Trusted AI certification.
一种基于图注意力网络与大语言模型的中药处方生成方法
Herbal prescription generation is cast as multi-label classification, with graph attention and an LLM modeling drug synergy and contraindications. Published on 15 May 2026.
基于多模态大模型的中医舌诊药饮推荐方法
A multimodal model turns a tongue image into a condition description and a medicinal-drink recommendation. Published on 7 November 2025 and granted on 29 May 2026.
Beijing University of Chinese Medicine says XinHuo ZhongGuoYao appeared at the 2026 World Digital Education Conference and its Q&A edition is on the national smart-education platform.
Causal contrastive learning and LLM graph attention for TCM prescription recommendation
Heterogeneous and homogeneous symptom-herb graphs plus an LLM-enhanced causal mechanism (published, not granted).
Multi-task joint optimization for TCM prescription generation
A pretrained LLM predicts herb sequences and herb sets jointly, with extra weight on rare herbs (published, not granted).
LLM-based intelligent acupuncture diagnosis agent
Acupuncture knowledge bases, graph, vector search and reranking, with an LLM agent that classifies questions and asks follow-ups (published, not granted).
TCM diagnosis-and-treatment platform combining an LLM with dual-channel retrieval
LLM plus TCM knowledge-graph dual-channel retrieval for inheriting master-physician experience and generating formulas (published, not granted).
RAG+LoRA 中医执照考试推理架构
RAG+LoRA generative architecture with an 11,476-item Taiwan TCM licensing-exam dataset (2005-2025), raising accuracy from 61.0% to 89.0%+ (Future Internet, MDPI).
AI驱动中医诊断智能化综述（JTCMS）
Survey on multimodal fusion and LLMs for intelligent four-diagnosis in TCM: applications, challenges and outlook (JTCMS).
Pediatric influenza Chinese patent-medicine recommender (KG + LLM)
Knowledge graph of Chinese patent medicines for pediatric influenza built from authoritative guidelines and integrated with an LLM (JMIR Preprints).
HSQ-TD（健身气功指令微调数据集）
HSQ-TD: the first instruction-tuning dataset for health Qigong/wellness, with 57,843 instructions distilled from official textbooks and professional literature (ScienceDB).
Pathogenesis-reasoning CoT supervision for spleen-stomach disorders
Pathogenesis-reasoning chain-of-thought supervision replacing fixed-label classification for spleen-stomach disease syndrome recognition and multi-dimensional evaluation (Prog. Biochem. Biophys.).
GAT+LLM TCM Prescription Generation
Intelligent TCM prescription generation combining graph attention networks with LLMs (formally published in KSII TIIS).
TCMIIES
TCMIIES: a browser-based, zero-installation LLM system for structured information extraction from academic literature, aimed at TCM and other specialty researchers.
Knowledge-graph and LLM system for TCM syndrome-differentiation QA
Chunks classics and cases, extracts a graph, then retrieves local and global keywords for syndrome-differentiation answers (published, not granted).
Affiliated Hospital of Shandong University of TCM launches the provincial AI+ TCM scenario project ZhiHui QiHuang.
Beijing University of Chinese Medicine's XinHuo ZhongGuoYao TCM education LLM completes national generative-AI service filing—the first publicly approved TCM-domain model of its kind.
一种基于视觉语言模型的中医舌诊智能分析方法
Fine-tunes Qwen-VL with tongue-diagnosis prompts so a tongue image yields structured color and coating labels plus a natural-language reading (published, not granted).
China News of Traditional Chinese Medicine reported that on 17 March 2026 Li Haiyan said the Yiyuan TCM model is being tried for case structuring, intelligent inquiry, prescription recommendation, and rational use of Chinese patent medicines.
Shanghai University of TCM says its formula-syndrome multimodal model was selected as a stage result of a national AI application pilot base.
Structured evidence-subgraph RAG for TCM herb recommendation
Multi-hop evidence subgraphs plus Hopfield associative retrieval for herb recommendation, with graph constraints against hallucination (published, not granted).
Knowledge-enhanced generation of TCM case commentaries
Retrieves knowledge-graph subgraphs, then writes case notes along etiology, treatment principles, formulas, and prognosis (published, not granted).
一种心血管疾病的基于针灸诊疗知识图谱的智能问答系统
Builds a cardiovascular acupuncture knowledge graph and sends hits to a cloud LLM for wording; if retrieval fails, the LLM answers with a caution (published, not granted).
一种基于人工智能的方剂配制方法、系统、介质和设备
An LLM maps case entities to disease and syndrome, drafts a formula, scores it, and regenerates from structured advice until the score passes (published, not granted).
一种基于动态语义分块、知识图谱与多跳路径规划的中医大语言模型AI题库智能生成方法及系统
Chunks TCM text, plans multi-hop paths on a knowledge graph, and trains a large model to generate a TCM question bank (published, not granted).
一种基于中医语言大模型的中医智能分析方法及系统
LoRA-tunes a TCM language model that maps syndrome and chief complaint to a formula (published, not granted).
Knowledge-distillation and RL for oncology TCM prescription recommendation
Distills GPT-4o into a Qwen student, then DPO, for interpretable oncology TCM prescriptions (published, not granted).
Eight ministries issue the TCM Industry High-Quality Development Plan (2026–2030), calling for AI and knowledge graphs to empower classical formulas and master physicians' prescriptions.
Science and Technology Daily reports that on 9 January Guangdong Provincial Hospital of Chinese Medicine launched a matrix of famous-doctor decision models; dermatology and cardiovascular models are already in clinical use.
Xinhua reports that on 24 December 2025 Henan's health commission showed a meridian-assisted diagnosis model and the Yuyao multimodal Shennong materia medica model for herb identification, authentication, assay, and origin tracing.
一种融合舌象、心率及文本的多模态健康状态评估方法
Takes tongue image as the main signal, adds heart rate and self-reported text, and prompts DeepSeek to write a health-status assessment (published, not granted).
Chengdu University of TCM said Wen Chuanbiao's team project, a high-quality TCM AI-model dataset numbered 2025-AISJK-02013, was selected for the 2025 MIIT and NMPA AI medical-device challenge list.
基于大语言模型的经络辨证与针灸方案生成方法及系统
Multi-source clinical data are quantified and cleaned, then a meridian-syndrome knowledge base and an LLM generate acupuncture plans. Published on 23 January 2026.
TCM Congbao says its Suwen content-generation algorithm was included in the 14th CAC deep-synthesis filing batch.
Multimodal knowledge-graph construction from TCM texts and records
An LLM extracts triples from TCM texts, then fuses a real-world case layer into a multimodal graph (published, not granted).
人工智能驱动下的中医智能诊疗研究进展与挑战
Chinese review structured on the six-step TCM diagnosis-treatment chain (four diagnoses, pattern differentiation, prescription, outcome prediction), contrasting supervised/unsupervised/RL/deep-learning paradigms (Shanghai J. TCM 2026;60(1)).
一种基于大语言模型的人-信息-物理三元数据融合中药制造知识图谱构建系统、电子设备及存储介质
An LLM extracts triples from manufacturing text under TCM term and relation constraints, then a human-cyber-physical ontology assembles a manufacturing knowledge graph. Published on 25 December 2025.
基于检索增强生成的针灸大模型构建方法、系统及装置
An acupuncture LLM answers questions from vector-retrieved knowledge snippets and, for diagnosis requests, retrieves treatment entries from an acupuncture-plan library. Published on 26 December 2025.
一种基于多模态大语言模型的中医临床辅助决策系统和方法
Tongue-image features are fused with clinical text, similar cases are retrieved, and a multimodal LLM drafts syndrome, diagnosis, herbal prescription, and reasoning. Published on 9 December 2025.
Guang'anmen Hospital reports that Guangyi Qizhi completed national deep-synthesis algorithm filing and describes itself as the first TCM hospital to do so.
Knowledge-graph recommendation of classic TCM formulas
Maps colloquial symptoms to terms, filters by constitution, and recommends classic formulas. Granted on 16 December 2025.
ZMT-M1 scores 96.26 on a simulated national TCM practitioner exam and is piloted in 100+ clinics.
Gushengtang launches a “TCM Brain” and an AI twin of National TCM Master Shi Qi, with 14 expert twins released. The eight-specialty claim is from a different story, not this page.
Jilin releases ZhongXing·Changbai Qihuang 1.0, an AI-native multimodal TCM LLM.
大小模型协同中药方剂优化方法、系统、终端及存储介质
A formula-optimization LLM proposes a macro revision, a smaller pharmacologic model traces constituent herbs, and the two are merged into a final formula. Published on 20 November 2025 and not yet granted.
USTB said that on 2 November 2025 in Zhengzhou it jointly released the Qihuang Acupuncture model, which turns four-diagnostic readings into acupuncture prescriptions.
融合动态知识图谱的针灸大模型辨证方法及调理优化系统
A dynamically updated acupuncture knowledge graph is combined with time-series clinical features, graph attention, and reinforcement learning to differentiate syndromes and draft acupuncture plans. Published on 28 November 2025.
Five national health ministries issue AI+ healthcare guidelines that explicitly support building TCM diagnostic LLMs.
基于大语言模型的中医五音疗疾个性化音乐生成系统及其构建方法
An LLM first performs TCM syndrome differentiation, then generates personalized five-tone therapy music under tonal constraints. Published on 17 October 2025.
China Economic Net reports the 26 October release of Idiom-Hypertension, an integrated Chinese-Western model for hypertension care.
Science and Technology Daily reports the CTA clinical-research agent, fine-tuned from Qwen2.5-14B for trial protocols, data management, and statistics.
针灸穴位推荐方法及其模型获取方法、装置、设备及介质
Trains a language model on medical records so symptoms map to acupuncture points, then applies parameter tuning and policy optimization (published, not granted).
The China Academy of Chinese Medical Sciences said that at CIFTIS on 10-14 September 2025 its intelligent-science center showed the Dayi Jinkui LLM and multi-turn inquiry system, plus tongue-diagnosis and mobile TCM testing units.
Guang'anmen Hospital said that on 12 September 2025, at the CIFTIS forum, it released Guangyi Qizhi 2.0 and the AI doctor An'an, already shown on outpatient guidance and pre-consultation screens.
YiYin classical TCM LLM goes live in Song County, Henan, combining TCM education with AI-assisted care for county clinics.
ZhiFu Qihuang Tiangong TCM AI model completes national deep-synthesis algorithm filing for four-diagnosis devices and constitution assessment.
The evaluated model on this page is Chuanshen Suwen, which passed CAICT Trusted AI TCM LLM Level 4+. The text says Transn built it on the Rendu base model.
Hubei Daily reported that on 6 August 2025 Hubei University of Chinese Medicine, Hubei Shizhen Laboratory, and Transn signed a cooperation agreement centered on the Chuanshen Suwen TCM model.
NSCC-TJ and Tianjin University of TCM release TianHe·LingShu 2.0 (expanded beyond acupuncture to 20+ specialties) and launch a TCM intelligent-model evaluation system.
Gushengtang releases ten “National Master AI twins” trained on master clinicians' experience. The page reports expert-simulation consistency above 86%, not pattern-differentiation accuracy.
一种基于大模型的中药分类方法
Entities from multi-source herbal data are mapped to modern pharmacological indicators, then a pretrained large model is adaptively fine-tuned to classify herbs. Published on 18 July 2025.
一种基于大模型智能体协作规划的中医诊断场景模拟方法
Turns unstructured case records into structured knowledge, then patient, doctor, assistant, and expert agents collaborate to simulate a TCM diagnostic encounter. Published on 11 July 2025 and not yet granted.
Guang'anmen Hospital forms the GuangYi·QiZhi LLM agent alliance with medical consortium partners for cross-institution intelligent care.
The National Data Administration listed a Chengdu University of TCM case that uses a large model to segment and tag 996 classical books and ChatGLM-6B to link TCM terms into graphs such as point-organ relations.
Nanjing University of Chinese Medicine said that on 6 June 2025 it released Lingshan TCM Model (Xiao Xingren) and Sushan Chinese Materia Medica Model (Sushan Zhisiti) for clinical, teaching, and research use.
基于大语言模型的中药药物警戒问答系统的构建方法
A Chinese-materia-medica knowledge base trains the pharmacovigilance RAG model PV-RAG to answer natural-language safety questions. Published on 27 June 2025.
基于胸肺科中医问诊报告大语言模型的中医方剂推荐方法和系统
Shared knowledge domains fine-tune a chest-and-lung TCM inquiry LLM that outputs constitution and symptom parameters and recommends food-medicine formulas. Published on 5 June 2025.
一种基于大模型的心血管疾病医疗决策支持方法
A pretrained large model fuses TCM syndrome knowledge with a Western pathology graph and proposes cardiovascular decisions that include Western drugs, Chinese herbal formulas, and non-drug measures. Published on 13 June 2025 and not yet granted.
Knowledge-graph and case-enhanced RAG for intelligent TCM inquiry
Leiden subgraph search plus hybrid global/local recall, then a single LLM response (published, not granted).
AI-LLM method and system for intelligent TCM inquiry
Multimodal inquiry fusing face, body, and tongue images, speech prosody, and a disease library. Granted on 27 June 2025.
Multimodal knowledge-graph and LLM system for TCM rehabilitation diagnosis
Aligns tongue, pulse, and inquiry features with knowledge-graph embeddings before a rehabilitation expert LLM (published, not granted).
TCM Hengqin vertical LLM is officially released.
中医药多模态LLM训练方法及其应用
Extracts tongue-coating and pulse features, fuses them with text by cross-modal attention, and trains a multimodal TCM large language model. Published on 6 May 2025.
Beijing University of Chinese Medicine said that on 10 May 2025 it released Xinhuo Zhongguoyao Zhisiti 1.0, a education model of more than 70 billion parameters built on iFlytek Spark and DeepSeek.
China Academy of Chinese Medical Sciences releases evaluation standards for TCM large models.
基于多源特征融合的中医方剂智能推荐方法、介质和设备
Blends content-based recommendation, collaborative filtering, and an LLM reading of symptom text to rank personalized formulas (published, not granted).
Ifeng reported that on 11 April 2025, at the Huawei Cloud ecosystem conference, Jiuwei Health released the Jiuwei Shennong TCM agent on the Pangu model for drug R&D, formula optimization, and clinical support.
一种基于OCR识别和大模型的中药方数据解析方法及装置
Handwritten herbal prescriptions are OCR'd into prompts on incompatibility, dosage, and administration, which a large model scores into an overall judgment. Published on 11 April 2025.
应用大语言模型的泌尿科中医问诊结果预测方法和系统
An LLM predicts core lesion keywords from urological TCM inquiry text and adjusts its parameters from recorded feedback. Published on 11 April 2025.
LLM-based Chinese-medicine prescription recommendation with soft prompts
Soft prompts and cross-attention feed patient text into an LLM for controllable herb recommendations (published, not granted).
Transn releases RenDu·SuWen TCM LLM (mixture-of-entropy architecture) for inquiry, pattern differentiation, and formula recommendation.
Hefei Yunzhen said it released the Yunzhen Huayi TCM model on its TongueLMM tongue model and DeepSeek-R1 for syndrome differentiation, constitution assessment, and report generation.
Xinhua reported that on 13 March 2025 Huang Huang's team at Nanjing University of Chinese Medicine and Hangzhou Maijing Health released an AI system that combines an LLM and a knowledge graph to operationalize formula-person matching.
Guang'anmen Hospital releases GuangYi·QiZhi, described as the first TCM hospital with integrated local compute + model + application deployment.
一种基于大语言模型的中医问答系统及方法
A dataset built from TCM literature trains an LLM that takes a user's medical question and returns a dialogue answer. Published on 27 February 2025.
一种基于大语言模型的中医知识图谱生成方法及系统
A model trained on herbal and consultation data visualizes treatment options for a patient and is updated from outcome ratings. Published on 17 February 2025.
LLM method for learning famous-physician TCM formulas
Aligns classical-Chinese case terms with vernacular text using models such as Qwen (published, not granted).
On 8 January 2025, the University of Science and Technology Beijing and Henan University of Chinese Medicine released Zhang Zhongjing TCM Large Model 1.0 for syndrome differentiation, syndrome-element recommendation, classical formulas, and formula analysis.
一种用于智能中医系统的大语言模型的构建方法
Labeled tongue images and historical records train a tongue-inquiry model used to construct an LLM for an intelligent TCM system. Published on 7 January 2025.
利用AI大模型进行舌象分析的方法及装置
Uses a large model to read tongue images by constitution, symptoms, and an overall interpretation (published, not granted).
LLM and knowledge-graph method for TCM formula compatibility
Pairs a TCM LLM with a knowledge graph for formula compatibility (published, not granted).
LLM-based Chinese-materia-medica question answering
Chinese-materia-medica QA fine-tuned from Baichuan2-7B-Chat. Granted on 7 February 2025.
China UnionPay Consumer Finance with Sun Yat-sen University and GZUCMS Shenzhen Hospital release vertical TCM LLM ZhongSi for community clinic inquiry.
一种基于多模态大模型的中医舌诊分析系统及方法
TongueAI builds tongue- and face-image readings, multi-turn questions, and constitution-reasoning data, then instruction-tunes TongueLMM for those three tasks. Published on 8 November 2024.
基于AI大模型智能人体域网的中医六经辨证智能对话健康管理系统
A six-meridian TCM dialogue system over a body-area network and a large model (published; deemed withdrawn on 6 February 2026).
基于AI大模型的中医元气充盈智能健康管理系统
Converts wearable signals into TCM terms and passes them to a TCM large model (published; deemed withdrawn on 6 February 2026).
ECNU, Shanghai University of Traditional Chinese Medicine, East China University of Science and Technology, Naval Medical University, Lingang Laboratory, and CR Jiangzhong built ShuZhi QiHuang. Version 1.0 came out on 19 January 2024. On 25 November 2024 they introduced version 2.0 at a forum in Shanghai.
Building a TCM QA system from a large language model and a knowledge graph
Closed loop of LLM generation and knowledge-graph completion for TCM QA (published, not granted).
Zhongke Wenge releases DaYi JinKui TCM LLM and a health platform trained on 1,500+ TCM classics and a large set of clinical cases.
一种基于大语言模型的中医知识深度挖掘方法
Retrieval augmentation and model fine-tuning are trained together so the system can explain TCM terms and syndromes and suggest treatment from a patient query (published, not granted).
一种基于计算视觉与大语言模型辅助中医诊疗的系统
An LLM handles spoken inquiry while computer vision converts patient images into findings that are retrieved and fed back to the LLM for TCM decision support (published, not granted).
Long-document retrieval-augmented generation for TCM question answering
Long-document RAG for TCM question answering, with expansion, recall, reranking, and source citations. Published on 5 April 2024 and granted on 9 July 2024.
AI-large-model system for intelligent TCM prescription recommendation
Trains an AI large model on medical records to recommend personalized TCM prescriptions, wired into a hospital IS (published, not granted).
一种基于大语言模型的针灸辅助诊疗和模型评价的方法
ChatGLM3-6B is fine-tuned on labeled symptoms, points, and operations to propose acupuncture plans, which are scored by sentence similarity (published, not granted).
一种基于大语言模型的中医客服回复系统
Synonym-augmented TCM text trains a Transformer LLM that is fine-tuned to parse customer requests and draft replies; the application was granted as CN118070907B on 2024-07-09.
Tasly and Huawei Cloud release ShuZhi BenCao on Pangu language and molecular models. This page does not mention a CAICT Level 4+ evaluation.
以大语言模型为先验的智能中医系统
An LLM rewrites patient diagnostic text, which is then semantically interpreted to predict TCM syndromes and causes and to suggest treatment. Published on 1 April 2024.
一种基于大语言模型的中医知识图谱构建方法
An LLM extracts named entities and relations from TCM text, merges similar entities, and builds a TCM knowledge graph (published, not granted).
Nanjing Dajing TCM releases QiHuang Wendao LLM with large knowledge graphs and clinical data for institutional beta use.
融合证素知识的中医证候术语映射
Maps clinical wordings of TCM syndromes onto standard syndrome names with syndrome-element knowledge. Information Science, 2025, volume 43, issue 7.
WHO 西太区传统医学术语
The World Health Organization Western Pacific terminology for traditional medicine, the 2007 predecessor of the 2022 Chinese-medicine terminology. The PDF is on IRIS.
TCMDATA
An R package for target-oriented network pharmacology and AI-assisted interpretation in traditional Chinese medicine. Current Molecular Pharmacology, 2026.
中医体质 Qwen3-8B 量化权重
Quantized Qwen3-8B weights for traditional Chinese medicine constitution, with q4, q5, and q8 GGUF files under Apache-2.0. Uploaded in September 2026.
Qwen3.5-9B 中医继续预训练
Full weights after continued pretraining of Qwen3.5-9B on traditional Chinese medicine: one bfloat16 safetensors file of about 17.9 GB, Apache-2.0, uploaded in July 2026. The model card still calls this stage a LoRA, but the repository has no separate adapter file.
TCM-Qwen2.5-7B-SFT
A traditional Chinese medicine supervised-fine-tuning checkpoint of Qwen2.5-7B. The weights are full safetensors files under Apache-2.0, uploaded in October 2026.
肺磨玻璃结节的中医症状风险模型
Assesses how pulmonary ground-glass nodules may progress, combining imaging with traditional Chinese medicine symptoms. Journal of Integrative Medicine, 2026.
乳腺癌中医证型的神经网络区分
Uses a neural network and clustering to separate traditional Chinese medicine patterns in people with breast cancer. Frontiers in Pharmacology, 2020.
儿童多动症推拿的特征选择
Selects features and predicts pediatric tuina choices for children with attention deficit hyperactivity disorder. Bioengineering, 2025.
痛经辨证的机器学习模型
A machine-learning model for traditional Chinese medicine syndrome differentiation in dysmenorrhea. Combinatorial Chemistry and High Throughput Screening, 2025.
多囊卵巢证型的多标签预测
Compares feature selection and multi-label models for predicting traditional Chinese medicine patterns in polycystic ovary syndrome. Heliyon, 2024.
上海 2 型糖尿病问诊证候识别
Recognizes traditional Chinese medicine syndromes of type 2 diabetes from inquiry information collected in Shanghai. 2022.
冠心病问诊的多标签学习
Models inquiry-based diagnosis of coronary heart disease in traditional Chinese medicine with multi-label learning. BMC Complementary and Alternative Medicine, 2010.
用声学特征辨体质
Uses acoustic features of the voice to identify constitutions in traditional Chinese medicine. Journal of Alternative and Complementary Medicine, 2013.
小波包分形维的闻诊
Turns traditional Chinese medicine listening into a computable syndrome task with wavelet-packet fractal dimension and a support vector machine. 2014.
可控 Transformer 面诊
A controllable Transformer for several traditional Chinese medicine facial-inspection tasks at once. IEEE Journal of Biomedical and Health Informatics, 2026.
唇色的中医望诊分类
Classifies lip color for traditional Chinese medicine inspection with multi-class support vector machines. BMC Complementary and Alternative Medicine, 2012.
中医临床命名实体与关系联合识别
Joint named-entity and relation extraction for traditional Chinese medicine clinical text, with a character-level convolutional recurrent network. Artificial Intelligence in Medicine, 2026.
中西药相互作用专论库
Evidence-based monographs of Chinese herb–drug interactions for a clinical decision-support database. Evidence-Based Chinese Medicine and Technology Assessment, 2026.
方剂推荐中的剂量预测
Predicts doses while recommending a traditional Chinese medicine formula, using a diffusion model and a heterogeneous hierarchical network. IEEE BIBM, 2025.
复方煎煮时长分类
Classifies how long a traditional Chinese medicine compound should be decocted, using multi-dimensional features. Computer Methods in Biomechanics and Biomedical Engineering, 2024.
中药复方剂量调整方法
A method for adjusting the dosage of traditional Chinese medicine formulas, moving from empirical practice toward more precise use. Frontiers in Pharmacology, 2026.
基于知识图谱的中成药处方监测
A prescription-monitoring program for Chinese patent medicines built on a knowledge graph. Evidence-Based Complementary and Alternative Medicine, 2021.
人工智能中医辅助诊断系统验证
Validation of an artificial-intelligence assistive diagnostic system for traditional Chinese medicine. JMIR Medical Informatics, 2020.
远程监督的中医跨度实体抽取
Span-level named-entity extraction for traditional Chinese medicine, trained with distant supervision. JMIR Medical Informatics, 2021.
中医命名实体识别的知识蒸馏
Knowledge distillation for named-entity recognition in traditional Chinese medicine, moving the skill into a smaller model. Scientific Reports, 2026.
中医病历嵌套实体识别
Recognizes nested entities in traditional Chinese medicine electronic medical records, such as a symptom and the body site it belongs to. Scientific Reports, 2025.
胰腺癌病历的证型识别
Identifies TCM syndrome types from free text in electronic records of people with pancreatic cancer. JMIR Formative Research, 2025.
强化学习的可解释中医处方推荐
Reinforcement learning for explainable traditional Chinese medicine prescription recommendation, using implicit preferences from a smaller language model. Chinese Medicine, 2025.
MSAT：中药物不良反应预测
A heterogeneous graph neural network trained on FAERS spontaneous reports to predict adverse reactions associated with Chinese materia medica. Frontiers in Pharmacology, 2026.
中药不良反应信号的决策树分类
Decision-tree classification for signal detection in traditional Chinese medicine pharmacovigilance. BMC Medical Informatics and Decision Making, 2018.
湖北中药注射剂自发报告
Analyzes spontaneous adverse-reaction reports for traditional Chinese medicine injections in Hubei from 2014 to 2019. Scientific Reports, 2021.
喜炎平联用药物与疑似过敏
A nested case-control study in a national medical-insurance sample on concomitant drugs and suspected allergic reactions with Xiyanping injection. Frontiers in Pharmacology, 2022.
喜炎平严重不良事件的投影重要性
Uses variable-importance-for-projection scores to see how age and herb-drug combinations contribute to the severity of adverse events linked to Xiyanping injection. Chinese Medicine, 2023.
附子毒性成分指数
Weights aconitine, mesaconitine, and hypaconitine by minimum lethal dose and defines a toxic-constituents index for aconite, instead of adding the three diester-alkaloid contents directly. Frontiers in Pharmacology, 2016.
吴鞠通温病技能
A warm-disease skill set drawn from Wenbing Tiaobian, Yiyi Bingshu, Wu Jutong's case records, and Wenre Jingwei, set beside six-meridian formula patterns. The repository description lists 359 cases and 22 warm-disease formulas, using sanjiao and wei-qi-ying-xue.
WHO 中医药国际标准术语
The World Health Organization's 2022 terminology standard for traditional Chinese medicine, so clinics, policy, and records can share the same concepts. The publications page offers a PDF for checking Chinese and English wording of patterns and the four examinations.
中医体质量表计分代码
SAS code, SPSS syntax, and an Excel test sheet for scoring the Constitution in Chinese Medicine Questionnaire. Released January 2021, CC BY 4.0.
经方按症状排序（平人）
Matches the pattern expected by a formula in the Shanghan zabing lun with the patient's present pattern and scores the fit from 0% to 100%. The method is implemented as the online program Pingren. Inputs are the book's own words for symptoms and course. Released December 2021, CC BY 4.0.
五部伤寒书知识图谱
A knowledge graph drawn from Shanghan Lun, Shanghan Leifang, Shanghan Xuanjie, Shanghan Lun Qianzhu, and Shanghan Jiushi Lun. It has 26,771 nodes and 8,272 relations in CSV files that can be loaded into Neo4j. Released on ScienceDB in 2024.
Tao-Shanghan-Corpus
A downloadable Shanghan Lun corpus that keeps clauses, commentaries, and textual variants apart. Version 1.0, released 11 August 2026, has 681 clause records, including 398 canonical clauses, 2,958 aligned commentaries, and 616 variants. CC BY 4.0.
pro_TCMLLM
A P-Tuning script that trains ChatGLM-6B on the ShenNong instruction files. The active command uses prefix length 128, learning rate 2e-2, the ShenNong train and test files, 3,000 steps, batch size 4, gradient accumulation 2, and fp16. The repository was created in November 2025.
tcm-cli
A terminal tool for asking TCM questions in natural language, including formula composition, syndrome questions, and compatibility checks. It needs Python 3.10 or newer and an LLM API key. Local data can be pulled for herbs, formulas, TCMSP, TCMID, and related sets. MIT license. The repository was created in February 2026.
PharmMapper
Upload a 3D molecular structure and get possible protein targets. The 2017 update covers 23,236 proteins, with 16,159 druggable pharmacophore models and 51,431 ligandable ones, clustered from the 1 January 2016 PDB snapshot. Useful when a herb constituent has a structure but no measured target.
中医世家
An online reader for TCM classics, herbs, formulas, and case records. The formula index has 25,425 entries, browsable by initial character or pinyin, and the herb index has 11,307 entries.
NPASS
A database of measured activity for natural products. This version lists 204,023 natural products, 48,940 source organisms, 8,764 targets, and 1,048,756 activity records, with values drawn from ChEMBL and the literature. Species records were also taken from TCM-ID, TCMID, TCMSP, and TM-MC. The 2026 update appeared in Nucleic Acids Research in November 2025.
TCM-Suite
A site that joins herb identification with network pharmacology. The Watson section currently lists 6,692 formulas, 7,322 herbs, 704,321 compounds, 19,319 proteins, and 15,437 diseases. Holmes identifies herbs with marker genes. Described in iMeta in 2022.
神经网络判别经方方名
A neural network trained on 261 formulae and 173 herbs extracted from the Shanghan Lun and the Synopsis of Prescriptions of the Golden Chamber. Given only the medicinal composition, it names the classical formula, and it is tested on modified formulae from different meridians.
GPT-4 作答台湾中医师执照考试
GPT-4 answered 480 items from the 2022 Taiwan TCM licensing examination and was compared with two licensed TCM doctors, using direct answers and explain-then-answer. Overall accuracy was 43.9% for the model, versus 70% and 78.4% for the two doctors. About 55.3% of the errors came from misunderstanding TCM concepts. This compares exam recall with licensed practitioners; it does not separately score syndrome judgment, prescription rationality, and safety checks.
评估药物–草药相互作用的人工智能工具
Review of artificial-intelligence models and tools for assessing drug–herb interactions.
肿瘤治疗中的草药–化学药相互作用
Review of herb–drug interactions in oncology, covering pharmacodynamic and pharmacokinetic mechanisms and risk prediction.
SiPA：同时预测中药相互作用
SiPA predicts several interactions at once so the TCM network among constituents, targets, and diseases can be expanded.
中药心脏不良反应的文献计量与关联规则
Bibliometrics and association rules for cardiac adverse reactions attributed to Chinese materia medica.
胸痹处方中的十八反关联规则
Association-rule mining of the eighteen incompatible medicaments inside chest-pain prescriptions.
基于结构相似的中药心血管毒性预测软件
Structure-similarity software for predicting cardiovascular toxicity of traditional Chinese medicine.
质谱机器学习预测中药毒性
Machine learning on mass spectra predicts the toxicity of traditional Chinese medicines.
图注意力网络预测中药相互作用
Graph attention networks predict interactions among traditional Chinese medicines.
配伍禁忌药对的监督学习框架
A supervised learning framework for incompatible herb pairs, a 2018 conference paper in the same line as the later IHPreten model.
AN-IHP：注意力网络预测配伍禁忌药对
Attention networks predict incompatible herb pairs in traditional Chinese medicine.
脉波与语音联合筛查冠心病和心衰
Shanghai University of Traditional Chinese Medicine and collaborators treat the radial pulse wave as pulse diagnosis and the voice as auscultation, to screen for coronary artery disease and heart failure. They recorded 553 people (healthy, coronary disease, and heart failure) and checked the model on another 194.
中风患者韩医四诊的观察者一致性
Two clinicians independently examined 168 hospitalized stroke patients with Korean-medicine pattern identification. AC1 was 0.66–0.89 for pulse, 0.66–0.95 for inspection, 0.67–0.88 for listening and smelling, and 0.62–0.94 for inquiry.
九层卷积网络的腕部脉象分类
A 9-layer convolutional network classifies TCM wrist-pulse signals without handcrafted features. The recordings are not public.
多通道桡动脉信号的脉象识别
A convolutional network reads common pulse patterns from multichannel radial-artery signals after denoising and feature extraction. The sample size and the recordings are not public.
空腹过程的寸关尺脉图定量
Records Left Cun, Right Cun, and Right Guan pulses in 51 healthy adults before fasting (day 0), during fasting (day 4), and after fasting (day 7).
冠心病、其他心血管病与健康人的脉象参数
Pressure-sensor pulse recordings from 251 people: 102 with coronary heart disease, 94 with other cardiovascular disease, and 55 healthy people. The recordings are not public.
视频面部特征的中医望神分类
Classifies TCM spirit inspection from facial features in video. The videos are not public.
均匀色空间的中医面色识别
Recognizes TCM facial complexion in a uniform Lab color space. The face images are not public.
面色与体型的中医体质图像辨识
Full-body standing photos of healthy people, labeled with the Constitution in Chinese Medicine Questionnaire. Complexion and body shape come from a color space and local binary patterns; a dual-branch network adds deep features from the whole-body image; a random forest then identifies the constitution. Accuracy 0.842, precision 0.868, F1 0.790.
用面部几何特征区分四象体质
Selects distances, angles, and distance ratios from facial photographs to distinguish Sasang constitution. The abstract counts 1,225 distance features, 61,250 angle features, and 749,700 ratio features. The photographs are not public.
面像、体型、声音和问卷融合的四象体质辨识
KIOM fused face images, body shape, voice, and questionnaires from 2,973 patients at 23 Korean-medicine clinics to classify Sasang constitution. Test accuracy was 64.0% for men and 55.2% for women. The images and questionnaires are not publicly posted.
中药肝损伤不良反应的风险信号
Uses adverse-reaction monitoring data to look for new risk signals and susceptibility factors in traditional Chinese medicine–induced liver injury. The journal page publishes the article and does not release case rows.
TCM-TBOSD 辨证论治评测
CCL 2025 shared task. Qilu University of Technology and the Affiliated Hospital of Shandong University of Traditional Chinese Medicine built TCM-TBOSD from de-identified records: 1,500 cases, 10 syndromes, 4 diseases, and 381 herbs. The prescription field lists herb names and, as the paper states, excludes doses. The repository has baseline code and a confidentiality form; the case table is not in the file listing.
古代经典名方关键信息表
Official key-information tables for ancient classic formulas, not patient records. The notices cover 7 formulas in 2020, 25 including Zhuye Shigao Tang in 2023, and 43 including Xuanfu Daizhe Tang in 2025. The 2025 table gives source, processing, and gram doses. In Xuanfu Daizhe Tang, licorice is dry-fried (41.40 g) and pinellia is Qing Ban Xia (34.50 g). The decoction uses 2000 mL of water, reduces to 1200 mL, removes the marc, boils again to 600 mL, and is taken warm at 200 mL three times a day.
异构网络预测中药毒性
Predicts traditional Chinese medicine toxicity with a heterogeneous network.
中药处方剂量分配的模糊分析
Fuzzy analysis of how doses are allocated inside a traditional Chinese medicine prescription.
妊娠禁忌中药概述
A book chapter surveying Chinese medicines that are contraindicated in pregnancy.
含反药的附子处方关联规则
Association-rule analysis of aconite prescriptions that contain incompatible herbs, comparing regions and compatibility features.
IHPreten：配伍禁忌药对预测
A supervised model with attribute regularization that predicts incompatible herb pairs in traditional Chinese medicine.
UniTCM
A reverse-pharmacology platform that links formulas and diseases to molecular findings, with layers for standardization, clinical discovery, molecular analysis, systems checks, and tools.
台湾草药不良反应报告系统（1998–2016）
A system for reporting and evaluating adverse reactions to herbal medicine in Taiwan, covering 1998–2016.
TCMM 中药现代化统一数据库
A unified database aimed at modernization of traditional Chinese medicine and therapeutic innovation.
SYD_NK 内科证候测试集
366 TCM internal-medicine test items. Each item is a syndrome name plus a first-person symptom narrative. The card says the text was cleaned from an internal-medicine textbook and checked by TCM students. Apache-2.0.
治法–处方与药材剂量表
The repository readme describes 23 treatment methods, more than 400 subcategories, 4,174 common medicinal materials with doses and sources, and more than 900 classic formulas, with 21 feature categories. Files include Treatment.csv and a treatment–prescription workbook.
中药化学成分毒性实验库
Literature-derived in vivo and in vitro toxicity experiments for chemical constituents of traditional Chinese medicines, including Naoyanghua, Banmao, croton, Yangjinhua, Fuzi, and Qingfen. Fields cover route, species, indicators such as LD50, toxic dose, target organ, pathology, and PMID.
红外热像面部穴位两级定位
A two-stage detector and regressor that localizes facial acupoints on multi-pose infrared thermal images, using bone-proportional cun and TCM anatomical rules.
GNN-BERT 的症状–穴位推荐
Models symptom–acupoint compatibility with a heterogeneous graph and a fine-tuned BERT, for acupoint recommendation.
TCM-BERT-CNN 整体证候分类
BERT and a convolutional network that map symptoms to multiple syndromes, using expert knowledge from public guidelines and textbooks and ten-fold cross-validation.
TCMKD 中医药知识发现平台
A proofread platform of syndromes, formulas, Chinese patent drugs, medicinal materials, ingredients, targets, and diseases, with mining, enrichment, and network analysis. https://cbcb.cdutcm.edu.cn/TCMKD/
知识图谱增强的长尾证候辨证
Knowledge-graph-enhanced long-tail learning for traditional Chinese medicine syndrome differentiation.
《温热经纬》与《伤寒论》方剂网络
Network analysis of herbal formulas from Wenre Jingwei and the Shanghan Lun.
《伤寒论》的复杂网络模型
A complex-network model of the Treatise on Cold Damage.
模仿肺癌中医辨证的端到端模型
End-to-end models trained to imitate traditional Chinese medicine syndrome differentiation in lung cancer diagnosis.
温病文献的 BERT 命名实体识别
BERT named-entity recognition for warm-disease texts in traditional Chinese medicine.
用自然语言处理挖掘《伤寒论》
Text mining and analysis of the Treatise on Febrile Diseases with natural language processing.
《伤寒论》异构图与图卷积表示
Builds a heterogeneous graph of the Treatise on Febrile Diseases and learns node representations with a graph convolutional network.
国际疾病分类与传统医学数据缺口
Discusses data gaps for traditional medicine in the International Statistical Classification of Diseases.
中医证候诊断标准适用性评价指南
A Delphi guideline for judging whether TCM syndrome diagnostic criteria are usable: 5 domains and 25 items, scored on a 5-point scale. Domains are accessibility, readability, implementability, acceptability, and overall evaluation.
STC-NF：中医症状术语两段式规范化
Split-then-concatenate normalization of TCM symptom terms from electronic records: 12 fine-grained semantic labels, three named-entity recognizers, and a two-stage deep-learning model.
PIPE-11：落地 ICD-11 传统医学章的临床决策支持
Pattern Identification and Prescription Expert-11, a decision-support system for putting the ICD-11 traditional medicine chapter into computable pattern identification and prescription.
对 ICD-11 第26章传统医学条目的增补建议
Argues that ICD-11 Chapter 26, drawn from the WHO international standard terminologies, should keep the adopted patterns and add essential patterns that are still missing.
ICD-10 疾病与汉方寒热虚实的对应
At a Kampo clinic, relates ICD-10 diagnoses of patients aged 20 or older, seen from October 2014 through June 2019, to ICD-11 traditional-medicine modules such as heat–cold and excess–deficiency.
GB/T 12346-2021 经穴名称与定位解读
Explains what changed in GB/T 12346-2021, Nomenclature and Location of Meridian Points, relative to the 2006 edition, including terms, definitions, body regions, and bone-proportional cun.
GB/T 31774 与 ISO 18668 中药编码对照
Compares the Chinese national coding standard GB/T 31774-2015 with ISO 18668 parts 1–4 for Chinese medicines.
胸痹/冠心病的中西医数据治理
For chest bi syndrome and coronary heart disease, a FHIR and SNOMED CT data system with 9 subsets and 352 elements, 42.6% of them TCM-specific, plus a 128-rule trigger engine. A prospective controlled study enrolled 972 people.
计算机辅助穴位定位系统综述
Systematic review of traditional algorithms and deep learning for acupoint localization across anatomical regions.
深度学习穴位定位综述
Review of deep-learning acupoint localization, grouped by body region, architecture, strategy, and image modality, including datasets and metrics.
东亚传统医学如何进入国际卫生信息标准
Scoping review of English reports from January 2016 to March 2026 on how Korean medicine, TCM, and Kampo concepts are mapped into mainstream health-informatics standards.
中药异构网络结构集
Heterogeneous biomedical graphs that include herb–target, herb–symptom, herb–herb, and symptom–symptom networks, together with protein–protein interaction networks.
MetaAcuPoint
900 synthetic RGB hand images from MetaHuman avatars in Unreal Engine, with bone-attached sockets for five hand acupoints used in Korean medicine.
TCMToxDB
A toxicity database that separates toxic effects of formulas, herbs, and ingredients, and gathers targets for specific toxic manifestations. Five herb–target and ingredient–target prediction algorithms are included. Site: https://www.sdu-idea.cn/TCMToxDB.
自适应神经模糊推理的中医睡眠障碍诊断
Uses an adaptive neuro-fuzzy inference system to diagnose sleep disorders in a traditional Chinese medicine setting.
高血压患者的寸口脉与脉搏波
Compares TCM wrist pulse-taking with pulse-waveform analysis and hemodynamics in people with hypertension.
Wasserstein GAN 扩充腕部脉象
Wasserstein GAN augmentation of wrist-pulse signals for traditional Chinese medicine.
高血压的中医面色分类
A classification model for TCM facial-color diagnosis of hypertension.
汉方问诊虚拟病人
A virtual patient for Kampo medical interviews, intended to support empathy and the pathological concepts used in Kampo.
按中医问诊思路做的证候辨证
Syndrome differentiation that follows TCM inquiry, aimed at consultation systems that ask too little and ignore inquiry principles.
多模态中医体质端到端评估
End-to-end TCM constitution assessment from face and tongue images, pulse and voice, and inquiry text.
深度强化学习的序贯中药治疗规划
Plans sequential herbal prescriptions across visits for chronic disease with deep reinforcement learning, rather than a single prescription.
白睛异常分割（HD-DinoMoE）
Segments scleral-surface anomalies with a hierarchical mixture-of-experts network, to quantify TCM inspection of the whites of the eyes.
用伽马密度拟合中医脉图
Fits Chinese pulse waveforms with collective gamma density functions to produce quantitative classification indices.
舌、面与舌下融合识别糖尿病
Fuses tongue, face, and sublingual images to detect diabetes and impaired glucose regulation. Earlier work used only one of these views.
由多尺度面容生成中药处方
A convolutional model that builds an herbal prescription from multi-scale facial features, rather than from symptoms alone.
《伤寒论》问题意图分类（TinyBERT-CNN）
Classifies the intent of questions about the Treatise on Febrile Diseases with a TinyBERT and convolutional network.
《伤寒论》知识图谱
Constructs a knowledge graph of the Treatise on Febrile Diseases and reports an application.
ICD-11 传统医学章与 SNOMED CT 的本体对照
Compares traditional medicine entries in ICD-11 Chapter 26 with SNOMED CT in order to build a traditional-medicine ontology.
中医症状的细粒度实体与关系抽取
Fine-grained extraction of nested symptom entities and relations from semi-structured TCM records, avoiding the loss from coarse labels.
中医病历症状规范化的自动方法
Automated methods for normalizing symptom names in traditional Chinese medicine records.
中医病历症状名自动规范化
Automatically maps symptom names in TCM electronic records onto a unified terminology, so mining can use clinical records rather than only manually extracted formulas.
健康成人韩医诊察数据集
A traditional Korean medicine examination protocol, built from the literature and three rounds of expert review, with healthy-adult examination data collected over four years.
中医药中英术语数据集
A Chinese–English terminology dataset for traditional Chinese medicine, published in China Scientific Data.
针灸临床实践指南数据集
A dataset of acupuncture clinical practice guidelines, released to make the guidelines easier to use in clinic.
TCMCPD
Structured case-derived tables: 4,895 patients, 12,900 visits, 703 herbs, 11,879 visit–syndrome links, and 63,192 visit–herb rows. Dose units are mostly grams (61,386), plus 1,067 qian, 364 pieces, 240 tablets, 69 liang, 64 fen, and 2 millilitres. Rows also link symptoms, ingredients, and targets, with Neo4j files. Full copyrighted case texts are not redistributed. The describing manuscript is a Research Square preprint.
赵汉青门诊处方（2025）
De-identified 2025 internal-medicine outpatient prescriptions from Zhao Hanqing: 122 patients, 335 prescriptions, and 5,951 herb rows with gram doses. 75 are initial visits and 260 are follow-ups. Routes: 315 oral decoctions, 8 oral dissolved, 8 external washes, and 4 external uses. Dosing is twice daily in 333 prescriptions and three times daily in 2. Herb-name rows containing processing marks, which can overlap: stir-fried 412, honey-fried 341, bran 289, vinegar 164, ginger 154, wine 89, calcined 67, prepared 63, and processed Pinellia (Fa Ban Xia) 99. CC BY 4.0. The repository describes the clinic as Beijing Heniantang Hospital.
糖尿病证候的多实例多任务卷积网络
Treats a diabetic patient's record as a one-dimensional image and symptoms as pixels. A multi-instance multi-task convolutional network finds relevant symptoms and maps them to syndromes.
用《伤寒论》检验八纲表里辨证
Using empirical records from the Shanghan Lun, treats the exterior–interior pair of the Eight Principles as dimensionality reduction and tests whether it carries the most symptom information, is the most abstract, and helps formula choice.
可解释框架量化中医症状–方药对应
A model trained on ancient and classical formula records quantifies the TCM mapping from symptom patterns to individualized herbal therapy, for comparison with modern biomedicine.
可解释图神经网络量化中药配伍
Interpretable graph neural networks quantify herb compatibility on a multidimensional TCM knowledge graph. Medicinal properties are virtual nodes. The study assesses herbal pieces in 6,080 formulas and checks 215 COVID-19 formulas.
Jiezhai Gong 妇产科医案知识图谱
A Neo4j knowledge graph of Jiezhai Gong's obstetric and gynecological case records.
计算机视觉的中医面色识别
Deep learning finds 68 facial landmarks, segments regions such as the ting, cheeks, and mingtang, then reads TCM complexion from color histograms.
中医面色的定性与定量分析
Computerized qualitative and quantitative recognition of facial color and gloss, reducing the subjectivity of experience-based face diagnosis.
彩色人脸特征的中医体质分类
Color face images of 5,150 people, with face detection and landmarks, used to classify TCM constitution from facial features.
模糊支持向量机的中医面色识别
After cheek segmentation, a fuzzy support vector machine with color modeling recognizes TCM facial complexion and reduces the effect of outliers.
统计特征与 MobileViT 的中医面色分类
Statistical features and MobileViT for automatic TCM facial-complexion classification.
脉搏压力波与妊娠的机器学习对应
Deep learning relates the pulse pressure wave to pregnancy. The paper reports 84% accuracy and an AUC of 91%. The signal is the pressure wave, not the TCM pulse qualities of position, rate, shape, and force.
深度卷积网络分析腕部脉波
Shannon energy envelope and the Hilbert transform extract the wrist pulse, then a deep convolutional network recognizes it for TCM pulse diagnosis.
希尔伯特–黄变换与随机森林的冠心病脉象识别
Hilbert–Huang energy and sample entropy of TCM pulse signals, classified with a random forest to separate coronary heart disease from healthy people.
桡动脉脉搏波的高血压机器学习分类
Machine-learning comparison of radial pulse waves from 450 people with hypertension and 479 healthy people, as an objective reference for TCM pulse diagnosis.
桡动脉脉搏波识别多囊卵巢综合征
Machine learning on radial pulse-wave parameters separates polycystic ovary syndrome from healthy controls in 459 subjects, as a step toward objective TCM pulse diagnosis.
基于中医脉诊矩阵的客观脉象分析
Objective pulse analysis with a TCM pulse matrix. The authors argue that current waveform definitions and objectification standards are incomplete.
TPC-GCN：中医脉象分类
Improved SMOTE augments pulse samples, multi-domain features are extracted, and a graph convolutional network classifies TCM pulse patterns.
脉诊机器学习识别妊娠与冠心病
A portable MEMS/CMOS pulse device records healthy women, women with coronary heart disease, and women in the first trimester, then machine learning separates pregnancy from coronary heart disease.
TCM4NSCLC
Computable real-world outpatient records from one senior TCM physician on non-small-cell lung cancer, for syndrome differentiation, prescription, and real-world effectiveness.
中医为何需要可解释人工智能
Argues that TCM AI is limited by a mismatch between statistical models and syndrome-based reasoning, so explanations are required.
面向临床的中西药联用安全性数智评价
A clinical framework for safety of combined Chinese and western drugs: prediction, risk detection, mechanism checks, and decision support before and during use.
中药计算毒性研究小综述
Mini-review of in silico toxicity studies of traditional Chinese herbal medicine.
中药安全性研究：方法、应用与展望
Review of why TCM toxicity is hard to study: multi-component formulas and unpredictable drug–body interactions, unlike chemical or biological drugs.
BioBERT-HDI：草药与化学药相互作用预测
BioBERT predicts herb–drug interactions from the literature and is compared with other machine-learning models.
中药化合物的多监管安全评价机器学习框架
Random-forest safety scoring of 127 bioactive compounds from 24 herbs, drawn from TCMSP, TCMID, PubChem, and ChEMBL, with separate weights for FDA, EMA, and CFDA priorities.
KeMRE：中药说明书的知识增强关系抽取
Knowledge-enhanced relation extraction from Chinese medicine instruction texts.
从文献为抗抑郁药不良反应寻找中药替代
Literature-based search for TCM alternatives that may lessen adverse reactions of western drugs, with depression treatment as the case.
ANDERATION：反社区发现用于中药配伍禁忌
Anti-community detection, using a node's degree and its inner-to-outer degree ratio, applied to herb incompatibility in TCM.
方剂网络中的十八反与十九畏
A network of 362 TCM formulas, plus chemical space and metabolism space, used to examine the eighteen antagonisms and nineteen mutual inhibitors.
中医脉诊重测信度与评分者一致性
Test–retest reliability and inter-rater agreement of TCM pulse diagnosis by two practitioners on 300 participants.
舌、声、脉联合的中医体质辨识
TCM constitution diagnosis that combines tongue, voice, and pulse indices.
面向糖尿病的中医脉诊卷积神经网络
Data processing so a convolutional network can read TCM pulse signals for diabetes, addressing the low repeatability of fingertip pulse diagnosis.
智能脉诊：信号处理与深度学习
Signal processing and deep learning for health-status classification from TCM pulse signals.
仿生设备采集中医脉象的规程
A protocol for digitizing TCM pulse information with bionic pulse-diagnosis equipment.
穴位皮肤阻抗的手机脉诊
Feasibility study of TCM pulse diagnosis on a smartphone by measuring skin impedance at acupoints, approximating fingertip pressure over the artery.
hwtcm-deepseek-r1-distill-data
Haiwei AI Team's DeepSeek-distilled TCM reasoning QA set built from web text. The authors state that it was not manually reviewed.
hwtcm-sft-v1
Haiwei AI Team's 7,096-example TCM instruction set. Text from websites, forums, and books was converted to QA and scored for expertise, safety, and fluency.
TCM-QM
Gas-phase DFT descriptors for 3,196 TCM-related molecules, with 16,918 deduplicated herb–molecule provenance links.
医宗金鉴知识三元组
25,571 knowledge triples extracted from the Golden Mirror of Medicine, covering medicinals, formulas, diseases, acupoints, and theory across 1,105 relation types.
TongueAtlas-4K
A 4,000-image clinical tongue benchmark with certified TCM expert labels for 22 appearance categories, released for MIRNet (AAAI 2026, to appear). The Zenodo record is restricted.
VTM-TDA Benchmark
A FAIR computational benchmark of Vietnamese traditional medicine digitized from Do Tat Loi's pharmacopoeia, with 724 harmonized botanical entities and 1,635 historical prescriptions.
Knowledge of Chatbots on Oriental Medicine-Based Theory and Practice of Acupuncture Is Inferior to That on Western Medicine-Based Acupuncture-Transmitted Infections
Compares five free chatbots (ChatGPT, Claude, Copilot, Gemini, and Perplexity) and three subscribed ones (ChatGPT, Claude, and Perplexity) on 2,528 oriental-medicine acupuncture theory items and 100 acupuncture-infection items. The median theory score was 75%, below 86% on the infection items.
Generating interpretable clinical reasoning chains in TCM via group relative policy optimization and multi-dimensional rewards
Generates interpretable traditional Chinese medicine clinical reasoning chains with group relative policy optimization and multi-dimensional rewards.
Chinese Medicine Question Answering Robot Based on RAG and Self-Built Dataset
Builds a traditional Chinese medicine question-answering robot with retrieval-augmented generation and a self-built dataset.
A TCM Syndrome Differentiation Thinking Method Based on Chain of Thought and Knowledge Retrieval Augmentation
CotKE-TCM prompts a large language model with chain-of-thought and retrieves similar cases, generated TCM knowledge, and clinical experience for syndrome differentiation, tested on the CHIP 2024 track.
VietMedKG
Knowledge graph and benchmark for traditional Vietnamese medicine.
TCMDI
Benchmark for predicting contraindicated interactions between traditional Chinese medicines and drugs.
六经辨证数据集
Traditional Chinese medicine dataset for six-meridian syndrome differentiation.
TreeProbe
Tibetan-medicine benchmark for measuring cultural bias in large language models.
四模型中文医学文献标引测试集
Key-information extraction and summary scores from four large models on 100 Chinese medical research articles.
病机思维链证候识别数据
Syndrome-manifestation cases with gold labels and model predictions, built under pathogenesis reasoning chain-of-thought supervision.
中医药知识问答实验数据
Traditional Chinese medicine question-answering set plus the knowledge graph, prompt-engineering code, and experiment outputs.
TCM-MS2Link
AI-ready dataset joining curated herb–compound links (TCM-MolLink) with MS/MS spectra.
病理标注舌象数据集
Tongue-image dataset with pathological annotations for AI-assisted TCM diagnosis.
中药扰动转录组图谱
Harmonized transcriptomic atlas of traditional Chinese medicine perturbations, assembled from public treatment experiments.
胆石症中医证候代谢组
Serum and urine metabolomics for two TCM syndromes in cholelithiasis: liver qi stagnation and liver-gallbladder damp-heat.
TCMP-300
Image dataset of traditional Chinese medicinal plants for plant recognition.
传统方剂—疾病关系标注语料
Annotated corpus of traditional formula–disease relations in biomedical articles. Formulas are herb combinations prepared under traditional medicine principles.
AcuSim
Synthetic dataset for localising cervicocranial acupuncture points, built because expert annotation is costly and limits detector training.
Artificial Intelligence in Traditional Chinese Medicine: Multimodal Fusion and Machine Learning for Enhanced Diagnosis and Treatment Efficacy
Reviews multimodal fusion and machine learning for AI-assisted diagnosis and treatment in traditional Chinese medicine.
Korean Medical Consultation With Open-Weight Large Language Models: Pilot Comparative Evaluation of Retrieval-Augmented Generation With Metadata Filtering
An open-weight LLM chatbot for Korean medical consultation, comparing retrieval-augmented generation with metadata filtering.
AI Tongue Diagnosis: Expert System with LLMs for Abdominal Disease Detection Through Mobile App
A mobile tongue-diagnosis expert system that uses large language models to detect abdominal disease.
MLLM-Enhanced Region-Aware Bidirectional Evidence-Based Model for Tongue Diagnosis
A multimodal large-model method for region-aware, bidirectional evidence-based tongue diagnosis.
Fine-Med-Mental-T&P: a dual-track approach for high-quality instructional datasets of mental disorders in traditional Chinese medicine
Fine-Med-Mental-T&P used DeepSeek-V3 to draft and Qwen3-32B to rewrite answers, screening 16,000 theory instructions from textbooks and guidelines and 4,000 practice instructions from more than 600 real case seeds, for 20,000 instruction pairs on traditional Chinese medicine mental disorders.
Two-Stage Chain-of-Thought Fine-Tuning for TCM Medication Decision-Making in Nsclc
For non-small-cell lung cancer, the two-stage chain-of-thought fine-tuning improved prescription generation and proprietary-Chinese-medicine recommendation by 1.2% and 6.1% over the baseline.
TCMKG: Knowledge-Grounded question answering in Traditional Chinese Medicine via dynamic prompt evolution framework
TCMKG used expert-guided prompting on the Xin'an medical-case corpus to build a traditional Chinese medicine knowledge graph of 37,192 entities and 130,030 relations, with information-extraction precision 0.89, recall 0.88, and F1 0.88.
Pilot Development of a 'Clinical Performance Examination (CPX) Practicing Chatbot' Utilizing Prompt Engineering
The authors turned a National Institute of Korean Medicine standardized-patient scenario into text and used role prompting and few-shot prompting with GPT-4 to build a Korean-medicine CPX practice chatbot; internal scoring found relatively high correctness and compliance, with confidentiality and naturalness still needing improvement.
AI-driven multi-scale target analysis of traditional Chinese medicine: From the pharmacological effects of single compounds to the synergistic mechanisms of formulae
This review of multi-scale traditional Chinese medicine target analysis lists the development of TCM-specific large language models among its future directions, in order to decode TCM pharmacological logic.
Utilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study
The authors assembled 389 articles on traditional Chinese medicine against COVID-19 and manually annotated 48 of them with six entity types; under fuzzy match ChatGPT beat BERT question-answering models on 5 of 6 tasks, while exact match reversed that pattern, and none of GPT-4's F1 scores on herb, target, or research method exceeded 0.5.
XiangShu Omics: A Framework Based on the Spatio–Temporal Field Rhythms of Human Life and Systems Intelligence Methodology
This review says it is the first to systematically construct XiangShu omics, and states that its large model integrates large language models grounded in the classical logic of principle, method, formula, and medicine, such as Shu-Zhi Qihuang.
From Empirical Wisdom to Computational Intelligence: A Knowledge-Data Dual-Driven Paradigm for Modernizing Traditional Chinese Medicine
The paper proposes a knowledge–data dual-driven paradigm that turns implicit traditional Chinese medicine experience into computable structure with large-scale knowledge graphs and TCM-specific large language models, and digitizes the four examinations into a multimodal TCM phenomics.
Domestic and International Research Trends in Artificial Intelligence Applications in Korean Medicine: An Analysis from 2019 to 2025
The authors systematically reviewed 23 Korean-medicine artificial-intelligence studies from 2019 to 2025, ten domestic and thirteen international, and report that recent work increasingly uses large language models and other generative AI.
Artificial intelligence: A catalyst for the modernization of traditional Chinese medicine
This scoping review searched PubMed, Web of Science, and CNKI through 2025 and states that deep learning and large language models show promising accuracy on tongue-image analysis and syndrome differentiation, in some studies approaching expert-level performance.
Artificial Intelligence in Traditional Chinese Medicine: Bridging Ancient Practice and Future Innovation
This review analyzes traditional Chinese medicine large language models along construction, application, challenges, and prospects, noting that systems such as Qibo and MedChatZH already exist while earlier reviews lacked a synthesis of shared characteristics.
Conveying Imagistic Thinking in Traditional Chinese Medicine Translation: A Prompt Engineering and LLM-Based Evaluation Framework
From four foundational passages of Huangdi Neijing, prompt scaffolding guided DeepSeek V3.1 to convey metaphor and metonymy; ChatGPT 5 Pro and Gemini 2.5 Pro then simulated three reader types and scored human, baseline, and prompt-adjusted translations on five cognitive dimensions, with the prompt-adjusted translations best on all five.
TCMRD-KG: Design and Development of a Rheumatism Knowledge Graph Based on Ancient Chinese Literature
TCMRD-KG is described as the first rheumatism-specific knowledge graph built from ancient traditional Chinese medicine books, with entity labeling that combines automatic annotation by mainstream large language models and manual review.
From readable to executable
Using the same three prompts for each sampled term, the authors tested with ChatGPT-4o whether the WHO 2007 and 2022 traditional Chinese medicine terminology standards give enough explicit information for auditable selection among coexisting English variants.
Performance Assessment of ChatGPT-4.0 and ChatGLM Series in Traditional Chinese Medicine for Metabolic Associated Fatty Liver Disease: Comparative Study
The authors gave medical records of 87 metabolic-dysfunction-associated fatty-liver-disease cases treated with traditional Chinese medicine to ChatGPT-4.0, ChatGLM4, ChatGLM4 with a knowledge base, and ChatGLM3-6B, comparing syndrome differentiation, confusion of Chinese and Western concepts, and treatment-plan text.
Construction of a Knowledge Graph for Functional Specification Standards of Traditional Chinese Medicine Information Systems Based on Large Language Models
Using 22 group-standard documents on functional specifications for traditional Chinese medicine information systems, the authors constrained DeepSeek with CRISPE prompts to extract entities and relations and then applied rule-based constraints to build a knowledge graph.
Multimodal TCM Seven-Emotion Recognition: A Three-Modality Joint Consultation Framework Based on LLMs and Cross-Attention Fusion
The seven-emotion framework reached a macro F1 of 87.6% on 10,593 IEMOCAP samples, then used a frozen large language model to turn the neural predictions into traditional Chinese medicine syndrome-differentiation reports.
LLM-Driven Unsupervised Discovery of Semantic Decision Dimensions for Dynamic Scheduling and Intelligent Systems: A Traditional Chinese Medicine Case Study
DeepSeek-V3.2 induced 458 raw labels from 12,163 traditional Chinese medicine herb records and 64,107 short sentences, merged into 22 semantic categories; Qwen3-Embedding-8B found average internal coherence above 60% for 19 concepts, and experts rated reasonableness 4.64 on a 1-to-5 scale.
Smart Virtual Patients for TCM: Combining Knowledge Graphs and Language Models
The traditional Chinese medicine virtual patient combines a large language model and a knowledge graph with beam search and Sentence-BERT pruning, reaching 53.2% symptom consistency and 62.5% recall, both above the prompt-plus-knowledge-graph baseline.
An Intelligent TCM Diagnosis System with Localized LLMs and Modular Multimodal Reasoning Enhanced by RAG
The locally deployed system uses four agents for inspection, listening, inquiry, and palpation, coordinated by modular component processing and multimodal retrieval-augmented generation, and a central reasoning module turns tongue images, voice, pulse, and symptoms into a diagnosis and health advice.
Large language models vs traditional Chinese medicine clinical reasoning: Analysis of a single migraine case study
On one standardized migraine case, nine large language models were compared with two traditional Chinese medicine physicians and a published case response, scored blindly by 32 experts; GPT o3, Qwen 3, and Gemini 2.5 Pro matched or exceeded selected comparators in some domains, while Aya Expanse 32B scored lower.
Method for Constructing TCM Syndrome Differentiation Q&A System with LLM-RAG
The syndrome-differentiation question-answering framework connects a curated traditional Chinese medicine repository to a large language model through structured retrieval, in order to improve factual accuracy, contextual precision, and professional quality.
A knowledge-enhanced prescription generation model for TCM syndrome differentiation via multilevel memory retrieval
The prescription model retrieves similar cases with weighted BM25 and adds a drug knowledge graph from the Compendium of Materia Medica plus the eighteen incompatibilities and eighteen antagonisms, then passes that evidence to a large language model; experiments used the CCL2025 traditional Chinese medicine benchmark.
Contemporary technological value of ancient Chinese medical books: an empirical patent citation analysis using large language models
Large language models recognized traditional Chinese medicine entities and classified citation intent in patents; 72.9% of the patent citations showed low knowledge integration, and Systematic Differentiation of Warm Diseases ranked highest in technological impact.
Research on the Organization and Application of Traditional Chinese Medicine Processing Knowledge in Lingnan Herbal Medicine Ancient Texts by Integrating Large Models and Knowledge Graph Technology
The authors used large language models and a knowledge graph to organize medicinal materials, processing methods, adjuvants, and effects in Lingnan herbal classics, stored the graph in Neo4j, and combined BERT-CAN-NER with generative large models for natural-language question answering.
Knowledge-guided adaptive educational support for traditional Chinese medicine using large language models and knowledge graphs: integrating Confucian educational principles
The intelligent traditional Chinese medicine tutor links a large language model to a knowledge graph from the Golden Mirror of Medicine; of 125 student volunteers, 102 questionnaires were analyzed, and the integrated system produced higher immediate post-test scores than the large-language-model-only group and the self-study group.
Evaluating Semantic Fidelity and Cohesion in NMT and LLM-based Translation of Traditional Chinese Medicine Classics
For English translation of traditional Chinese medicine classics, DeepSeek exceeded Google Translate and ChatGPT-5 on BERTScore semantic fidelity to the human reference, while ChatGPT-5 produced more semantically coherent text across sentences.
Research on the Construction of a Traditional Chinese Medicine Coronary Heart Disease Question-Answering System Integrating Large Language Models and Knowledge Graphs
Prompted large language models extracted entities and relations from eight coronary-heart-disease guidelines of traditional or integrative Chinese medicine published in the past decade, producing a knowledge graph of 452 nodes and 690 relations, with BERT+CNN selected as the best intent-recognition model.
A Study of Automated Data Mining of Medication Rules in Traditional Chinese Medicine Prescriptions Based on Large Language Model
Through interactive questioning, a large language model ran frequency, clustering, and Apriori association analyses on traditional Chinese medicine prescriptions for osteoporosis, and the automated results were highly similar to manual SPSS statistics.
Large Language Models Versus Physicians in Traditional Chinese Medicine: A Real-World Clinical Case Evaluation
From 349 de-identified outpatient cases at 62 hospitals, the authors used 60 cases to compare 16 large language models with 60 practicing traditional Chinese medicine physicians, scored blindly by five senior experts across nine diagnostic and therapeutic dimensions.
Prompt-RAG: Pioneering Vector Embedding-Free Retrieval-Augmented Generation in Niche Domains, Exemplified by Korean Medicine
Prompt-RAG, which does not use vector embeddings, outperformed ChatGPT and vector-embedding retrieval-augmented generation on relevance and informativeness in a Korean-medicine question-answering chatbot.
Reunderstanding of the Classification of Syndromes in the Traditional Chinese Medicine Classic “Shang Han Lun” Based on Large Language Models
From ten selected Three-Yang passages in Shang Han Lun, Chinese and English ChatGLM 4.0 and ChatGPT-4.0 reclassified cases by modern medical consensus; among the four outputs, Chinese ChatGLM 4.0 was closest to the original Three-Yang grouping and English ChatGLM 4.0 diverged the most.
Named Entity Recognition in Traditional Chinese medicine Literature Data for Obesity Based on Large Language Models
For named-entity recognition in traditional Chinese medicine obesity literature, prompt-optimized DeepSeek-R1 reached an F1-score of 0.927 on the test set.
Dynamic Disease Tracking and Personalized Prescription Recommendation Using Large Language Model in Traditional Chinese Medicine
The system connects multi-turn consultation and temporal analysis to a large language model for personalized traditional Chinese medicine prescriptions, and on 1,000 insomnia cases it improved initial-case inference, diagnostic accuracy, and adaptability.
IC-BERT: An Instruction Classifier Model Alleviates the Hallucination of Large Language Models in Traditional Chinese Medicine
IC-BERT uses a BERT text filter to limit which questions a traditional Chinese medicine large language model may answer, so as to reduce fabricated facts when questions fall outside its capability.
Supporting postgraduate exam preparation with large language models: implications for traditional Chinese medicine education
On the 2023 Chinese postgraduate examination for traditional Chinese medicine, Ernie Bot scored 50.30% and ChatGLM 46.67%, both above the passing score, with the highest scores in the medical humanities module.
A Study on An Intelligent Diagnosis and Treatment Assistant System For Acupuncture in Diminished Ovarian Reserve Based on A Knowledge Graph
Using large language models plus manual annotation on 82 acupuncture texts and clinical data, the authors built a graph of 16,558 entities and 80,084 relations; on 90 patients with diminished ovarian reserve, diagnostic agreement with experts was 86.7%.
Knowledge Graphs Combined with ChatGPT in the Field of Acupuncture: A Case Study on the Treatment of Depression
The study built a depression-specific acupuncture knowledge graph and used large language models to optimize knowledge integration for researchers and clinicians.
Development of an LLM-based CPX Practicing Chatbot for Korean Medicine Education: Implementation of Automated Scoring and Feedback Generation Framework
In the Korean-medicine CPX practice chatbot, Claude-3.5-Sonnet scored every sample with perfect quantitative accuracy and averaged 43.2 seconds, faster than GPT-4.
Evaluating Large Language Models for Query Refinement in Systematic Review Retrieval of Traditional Chinese Medicine
The authors tested GPT-4o, GPT-5, DeepSeek-V3, and DeepSeek-R1 under six prompts for literature retrieval in CNKI, Wanfang, PubMed, and Embase on psoriasis, COVID-19, and type 2 diabetes; the deduplicated gold-standard set contained 182 records (50, 74, and 58).
Baize TCM Botanical Origin Images
Medicinal-plant origin images for Baize Traditional Chinese Medicine, covering habitats, original plants, and medicinal parts, with Chinese and Latin identification based on the Chinese Pharmacopoeia, Flora of China, and the Engler system.
HerbPairIAM
Data and model artifacts for attributing adverse-reaction signals to components of multi-component Kampo medicines, with a zip archive and README on Zenodo.
CHM-315
Fine-grained Chinese herbal-medicine image set with 315 categories and 126,000 images, 400 images per category.
TCMEFO
Formal ontology for traditional Chinese medicine efficacy, providing a hierarchical computable framework over concepts, relations, and herbal-medicine instances.
TCM Medical Case Commentary Generation
Generation set for TCM medical-case commentary, with 510 standardized source cases and 2,550 training and test instances compiled from gynecological classics.
TCM Knowledge Q&A
Science Data Bank set of 6,157 question-answer pairs built from classic Chinese medicine literature.
TongueBench
Quality-controlled tongue-image set of 2,694 photographs with file-level metadata; the open file is TongueBench Dataset.zip.
Chinese Herbal Efficacy Relations
Structured herb–efficacy relations converted from classical TCM efficacy wording for knowledge-graph construction, formula-efficacy prediction, and herb–symptom association.
TCM Term Prompt-Language Responses
972 model responses for 18 TCM terms across six general-purpose models, three prompt languages (Chinese, English, and Malay), and three runs, with WHO 2007 and 2022 terminology references.
WHO TCM Terminology LLM Evaluation Set
Evaluation set for using large language models as judges of TCM terminology, containing 376 contrasts from the 2022 WHO International Standard Terminologies on Traditional Chinese Medicine.
TCM Disease-Pattern-Symptom-Herb KG v2
Version 2.0 semantic knowledge graph linking diseases, patterns, symptoms, and herbs, released as node and edge CSV files.
Cross-linguistic TCM Formula Names
Cross-linguistic table of TCM formula names in Chinese, Japanese Kampo, Korean Han medicine, and English, compiled from official formularies and clinical references in Taiwan.
TCM Humanities MCQ
Multiple-choice questions on medical humanities, ethics, and physician regulations, curated by the Traditional Chinese Medicine Language Model Team; the card marks the size as under 1,000.
tw-tcm
minyichen/tw-tcm card lists 8,145 training examples with question, answer, source, and think fields.
TCM_19W_DataSet-SFT (part)
The card describes a partial non-web TCM instruction-tuning set, released as TCM19W_Part1.json.
TongueProjectTCM Color Classification
TongueProjectTCM tongue-image set whose card lists images and integer labels, with 807 training and 121 validation examples.
Chinese Drug Name Overreliance Set
Experiment data for the paper on whether LLMs over-rely on names to identify ingredients of Chinese drugs, linked from the dataset card to arXiv:2504.03786.
CMMLU Traditional Chinese Medicine
CMMLU Traditional Chinese Medicine test split; the card shows a 185-example load and the file traditional_chinese_medicine.json.
JTB Taiwan TCM Exam Questions
JTB Tech compilation of Taiwan Ministry of Examination TCM questions for ROC years 90–113, covering TCM internal medicine, basic medicine, and clinical medicine.
Taiwan TCM Examination MCQ
Past national TCM exam questions from Taiwan's Ministry of Examination; the README gives ROC years 96–111 excluding 110, and the repository file is basic theory of traditional Chinese medicine.csv.
2023 Pharmacist Licensure Examination TCM Track
TCM Pharmacy track items from the 2023 Chinese National Pharmacist Licensure Examination; the card says they were collected online and points to FreedomIntelligence/HuatuoGPT-II.
TCMLE
Chinese TCM practitioner licensing question bank with 7,956 items: 2,700 assistant-practitioner and 5,256 practitioner questions, including past papers and mocks.
Famous Old TCM Doctors Cases
Outpatient cases from Contemporary Famous Old Chinese Medicine Doctors' Typical Cases Collection; the card says each case includes the illness description, syndrome differentiation, and prescriptions.
tc_medical_base
Clause-level corpus of five classical TCM texts totaling 3,569 clauses with sentence-BERT embeddings: Song-edition Shanghan Lun, Guilin Shanghan Zabing Lun, Jingui Yuhan Jing, Jingui Yaolue, and Fu Qingzhu Nüke.
TriCM-DF Acupuncture Corpus
Expert-verified instruction corpus for TCM models, instantiated for acupuncture across consensus, experiential, and perception tables; the repository releases text, not the image or video files.
Gancao-TCM-Instruct
Public Gancao-TCM-Instruct release with 25,000 cases and 125,000 samples covering disease diagnosis, syndrome diagnosis, treatment selection, base-formula selection, and herb selection.
AcuKG
Knowledge graph of medical acupuncture assembled from guidelines, literature, trials, and ontology mapping.
KampoBench
Physician-reviewed Kampo consultation benchmark with 74 scenarios and 310 dialogue-level criteria.
TCMClinicalReason-Bench
2,000 multicenter records for reasoning from pathogenesis to prescription.
TCMQA
38,279 TCM licensing questions with 15,151 responses from 101 licensed practitioners.
辨证论治基准数据集
Scientific Data benchmark for syndrome differentiation and treatment with large language models.
LingLan多模态辨证大模型
A multimodal TCM diagnosis model over the four examinations. Not the LingLan benchmark paper (arXiv 2602.01779).
证伪导向的可审计辨证协议
A model-agnostic falsification protocol for auditable syndrome differentiation on the public 200-case TCMEval-SDT set.
TCMScience
An autonomous TCM research agent that separates language-model proposals from execution and release authority.
理法方药对齐的中医处方生成
Four-stage alignment for TCM prescription generation covering auditable li-fa-fang-yao reasoning, follow-up adjustment, and contraindications such as the eighteen antagonisms.
TCMClinicalReason-Bench
2,000 multicenter EHR cases testing whether a model can reason from pathogenesis and syndrome to treatment principle and prescription.
TCMQA
Open benchmark of 38,279 TCM licensing questions paired with 15,151 answers from 101 licensed practitioners.
动态知识图谱与大模型的中医生理建模
Connects dynamic knowledge graphs with large language models for TCM physiological modeling.
TCMHP
A large language model for TCM health preservation (preventive care).
基于Llama3的中医大模型
Fine-tunes Llama 3, Phi-3.5, and Mistral on TCM data to improve Chinese TCM language coverage.
中医药专利关系抽取
Relation extraction over TCM patents with a large language model and diversified semantic interaction.
多阶段学习的中医处方推荐大模型
A large language model for TCM prescription recommendation trained in multiple stages.
中医问诊中的大模型与知识图谱
Case study of integrating large language models with knowledge graphs in TCM consultation.
中医药知识图谱问答系统
An intelligent TCM question-answering system that joins a knowledge graph with large language models.
面向辨证的大模型微调
Fine-tunes large language models for TCM syndrome differentiation.
中医大模型指令微调
Instruction fine-tuning of large language models for TCM.
ChatGPT、DeepSeek与医师针灸方案对照
Compares ChatGPT, DeepSeek, and physician-generated acupuncture treatment plans.
针灸临床决策中的大模型补偿机制
Studies compensation mechanisms of large language models in acupuncture clinical decision-making.
名老中医针灸医案知识图谱
Builds a knowledge graph of famous acupuncturists' cases by extracting information with a large language model.
用大模型构建中医舌诊本体
Uses a large language model to help construct a TCM tongue-diagnosis ontology.
DMease
An AI assistant for TCM doctors diagnosing and treating diabetes mellitus.
医学知识增强的双层对齐中药处方推荐
Medical-knowledge-enhanced dual-level alignment network for herbal prescription recommendation.
知识图谱增强的中医问答大模型
Knowledge-graph-enhanced large language models for TCM question answering.
大模型连接中医知识与临床实践
Discusses how large language models can link implicit TCM knowledge with syndrome-based clinical practice.
辨证论治大模型基准数据集
Scientific Data benchmark for evaluating syndrome differentiation and treatment in large language models.
韩医CPX场景自动生成
LLM plus retrieval-augmented generation and multimodal cues to automate traditional Korean medicine CPX scenarios; validated by 10 experts.
KampoBench
Physician-reviewed Kampo consultation benchmark: 74 scenarios and 310 dialogue-level criteria, scoring application rather than exam recall.
AcuKG
A knowledge graph of medical acupuncture built with entity recognition, relation extraction, and ontology mapping.
LLM-SDaT
A knowledge-informed LLM framework for TCM syndrome differentiation.
AcuGPT-Agent
An LLM agent for acupuncture-based infertility treatment.
TCM-HyperRAG
Higher-order knowledge hypergraphs for TCM diagnosis and prescription recommendation, with traceable evidence passed to a backbone model.
TCM-CoT-RAG
Retrieval-augmented generation with chain-of-thought for TCM rheumatology decisions.
TEmbed-DDI：中西药相互作用标注
Annotates cross-domain drug interactions with large language models and bidirectional networks, and adds a Chinese-medicine interaction evaluation.
用大模型理解中医：机制探索与创新应用
An LLM method for mechanism exploration and downstream application in TCM.
中医场景中医疗大模型的提示词效应
Evaluates 16 models on TCM and shows that prompt effects depend on the model, which complicates reliable deployment.
灵丹 JAMIA：面向临床推理的中医知识编码
JAMIA paper on Lingdan, a TCM large language model for encoding domain knowledge in clinical reasoning tasks. Distinct from the later Digital Chinese Medicine prescription-evaluation paper.
中医大模型临床实践评测方法
Builds a clinical-practice evaluation for TCM large language models, arguing that Western medical benchmarks do not fit.
2026: 中医智能诊断的跨学科融合与发展趋势
Discusses interdisciplinary integration and development trends of intelligent diagnosis in TCM.
2026: 面向中医药证据知情决策的数字智能循证
Discusses digital intelligent evidence-based methods for evidence-informed decisions in Chinese medicine.
2026: 数字化与智能化时代的中医药机遇与挑战
Discusses opportunities and challenges for TCM as AI moves from expert systems to deep learning and large language models.
Dong et al. 2026: 中医处方推荐计算方法综述
Reviews computational herbal-prescription recommendation and how it can support TCM clinical decisions.
Wang et al. 2026: 重思中医大模型评测
Argues that TCM LLM evaluation still lacks a quality floor: unfiltered classics and web text can contain outdated advice, and a single case is not a benchmark.
Sun et al. 2026: 生成模型在中医药中的进展与应用
Reviews advances and applications of generative models in traditional Chinese medicine.
Liu et al. 2025: 网络药理学推动大模型用于中医药研究
Reviews how network pharmacology and large language models jointly explain multi-target mechanisms of TCM formulas.
Yin et al. 2025: 数据挖掘、大模型与多模态融合的中医AI综述
Reviews AI for TCM across data mining, large language models, and multimodal fusion, aimed at multi-component herbal formulas.
TongueDx
Public remote-tongue dataset: 5,109 images from 4,650 subjects, eight binary attributes (pale, red tip/side, red spots, ecchymosis, cracks, tooth marks, thick fur, yellow fur), plus age and sex. The repository is downloadable. This is not the later TongueDx2 ablation paper.
PresRecRF
Fuses a molecular knowledge graph with TCM semantic representations from large models, and predicts both herbs and dosages. Code and data are on GitHub.
KDHR
Knowledge-driven herb recommendation by multi-layer graph-convolution fusion over a TCM knowledge graph. Code is public.
知识引导的中医荐药（FITEE）
Graph-attention herb recommendation guided by a knowledge graph mined from TCM literature and prescriptions, with formula-theory signals added in the prediction layer.
MGCN
Multi-graph convolutional prescription model on the Treatise on Cold Damage. Symptom features are aggregated on state-element and syndrome graphs, then an MLP predicts the herb set.
SMGCN
Syndrome-aware multi-graph convolution for herb recommendation. Besides the symptom–herb graph, it adds symptom and herb co-occurrence graphs, fuses an implicit syndrome vector, then ranks herbs.
基于雅意大模型的中医智能预问诊
Liu et al. fine-tune YAYI 2-30B with DeepSpeed ZeRO-3 and couple it to a weighted symptom-graph agent. On the simulated tests, practitioner-exam accuracy is 94.09%, licensed Chinese-pharmacy exam accuracy 78.00%, symptom-term recognition 87.50%, and meridian recognition 68.80%. In the clinical test, syndrome accuracy is 88.33%, with fewer turns and less time than attending physicians.
循证中医指南 PICO 知识图谱问答
Cui et al. use ERNIE Bot to extract PICO triples from a polycystic-ovary guideline, store 248 nodes and 337 relations in Neo4j, and draft 12 question classes with 24 templates for a guideline QA system.
基于大语言模型与文本嵌入计算的中医证素辨证自动化方法
Instr-MT-TCM, an instruction-tuned TCM embedding model, is paired with an LLM for syndrome-element differentiation. On 1,793 real cases the joint method reaches mean F1 0.927 versus 0.512 for manual labels, and is applied to 48 prostate-cancer cases.
MMKGQA（海洋中药知识图谱问答）
MMKGQA answers marine Chinese materia medica questions from the MMKG graph using Aho-Corasick and Word2Vec. On a questionnaire corpus, mean precision, recall, and F1 are 97.93%, 83.41%, and 89.10%. It is not an LLM system.
阿尔茨海默病指南知识库问答（ChatGLM3）
LangChain grounds ChatGLM3-6B on a local library of Alzheimer guidelines and textbooks endorsed by the Chinese Association of Integrative Medicine and the Chinese Medical Association. Against bare ChatGLM3-6B, factual-accuracy wins are 88.09% and completeness wins 85.71%.
轻量化中医药古籍大语言模型（LoRA）
Shanghan Lun QA pairs from GPT-4, plus ShenNong and cMedQA2, are used to LoRA-tune five base models and to compare full LoRA with 8-bit and 4-bit QLoRA on Qwen-7B-Chat. That model gains 17.61 BLEU and 21.4 ROUGE-L over its base. No separate model name.
监督微调结合检索增强的中医知识问答
ChatGLM3 is supervised-fine-tuned with PissA and then wrapped in RAG. Reported scores are BLEU 14.5830 and ROUGE-1 34.6730; with RAG the TCM item-bank F rises to 0.6398 from a 0.2654 ChatGLM3 baseline.
知识蒸馏中医辨证论治模型
GPT-4o distills TCM case records into syndrome-differentiation instructions, then LoRA-tunes Qwen2.5-7B. The paper reports more readable reasoning while keeping prescription accuracy. No brand name or public weights.
杏林-NER (XingLin-NER)
XingLin-NER is a generative NER framework that instruction-tunes structured and reasoning prompts for variable TCM clinical terms, scored with TCM-BERT semantic similarity. It is an extraction method, not a general TCM chat model.
TCM Classic-Translator（中医古籍今译）
TCM Classic-Translator is a LoRA model for classical-to-modern TCM translation, trained on Huangdi Neijing and Shanghan Lun parallels with commentary augmentation. BLEU-4, ROUGE-1, ROUGE-2, and ROUGE-L are 39.3534, 55.0474, 35.8099, and 54.6551.
KG-IMHRE（赵炳南流派可解释多跳检索增强问答）
KG-IMHRE guides an LLM with subgraph mining and dynamic retrieval queries over the Zhao Bingnan dermatology school graph. On that benchmark it scores 85.2 on multiple choice, 45.78 on open questions, and 73.38 overall.
内蒙古自治区民族药目录
Public ethnic-medicine catalogue PDF from the Inner Mongolia Healthcare Security Administration, mainly finished Mongolian formulas. The government filename is dated 25 December 2023. The extracted text is titled the Inner Mongolia ethnic-medicine catalogue and notes that listed drugs are managed as class B. It is a reimbursement list, not a research compound database.
傣药基原植物数据库
Dai medicinal-plant source database on the Chinese Union of Botanical Gardens platform, from Xishuangbanna Tropical Botanical Garden, CAS. The home page is copyrighted 2018 and describes Dai medicine’s four towers, five aggregates, and antidote theory. The species-list URL returns a redirect notice, and no anonymously browsable species catalogue was confirmed.
Sowa Rigpa Materia Medica Dataset
Open Data in Brief table of Latin identifications for commonly used Sowa Rigpa materia medica. The paper says about 700 commonly used items were selected from the Four Medical Treatises and Gawé Dorjé’s classification, with Tibetan script, Wylie transliteration, and Latin names; the supplement is published with the article. The authors are at the School of Tibetan Medicine, Gansu University of Chinese Medicine, the University of Wisconsin-Madison, and the College of Pharmacy at Qinghai Nationalities University. The data-source location is the ethnic-medicine center at Chengdu University of Traditional Chinese Medicine.
藏药材资源数据库
Tibetan materia-medica list published by the Key Laboratory of Tibetan Medicine Research at the CAS Northwest Institute of Plateau Biology. The page is a table of Chinese name, Latin name, drug name, and part used, and it states that there are 15 pages. Entry paths are dated March–April 2022. It is a crude-drug list, not a compound–target database.
KMCRIC
Data portal of the Korean Medicine Convergence Research Information Center at Kyung Hee University. The data-center page lists an evidence-based Korean-medicine literature set of systematic reviews, RCTs, and mechanism studies published since 2010; an herb-interaction set based on Natural Standard; acupoint videos made from the 2008 WHO Western Pacific standard locations; and a crude-drug update built with the Kyung Hee and Chungbuk pharmacy faculties. The director’s biography says the directorship began in 2013.
韩医药素材银行药材目录 (KMMB)
Korean Medicine Material Bank at the National Institute for Korean Medicine Development. On 1 January 2016 it was formed by merging the natural-substance bank and the herbal biomaterial bank. The herb page lists 691 items, with name, synonym, scientific name, botanical source, and reacting enzymes.
KTKP Traditional Medicine
Korean-medicine slice of the Korean Traditional Knowledge Portal, run for the Ministry of Intellectual Property. The English introduction says the database was compiled from traditional Korean medicine literature in 2005–2007 and opened for search in December 2007. The same page currently counts 5,500 herbs, 7,103 prescriptions, and 12,500 diseases, linked to effects, indications, formulas, and patent classes.
ETHMEDmmm
Ethnomedicine specimen database of the Museum of Materia Medica at the University of Toyama. The home-page table lists 461 kinds and 8,942 Japanese–Chinese crude-drug specimens, opened in Japanese in April 2000. The same site also has an English crude-drug list and separate Unani, Thai, Ayurvedic, and Indonesian collections. The latest note is a version-7 rebuild on 30 March 2018. The site returned 503 on this check; the institute portal still lists the address.
EKAT
Evidence Reports of Kampo Treatment, a structured-abstract database from the Japan Society for Oriental Medicine EBM committee. The site says it has been free and updated since 2007. It covers RCTs and meta-analyses of Kampo products still on the market, limited to reports since 1986 that used the same quality as marketed products; decoctions are excluded because product quality is unknown. Japanese and English editions are provided, and the Association of Korean Medicine has a Korean translation.
药用植物综合信息数据库 (MPDB)
Comprehensive medicinal-plant database of the NIBIOHN Research Center for Medicinal Plant Resources. The home page describes medicinal plants, crude drugs, constituents and genes, cultivation, and internal morphology, plus measured data for representative crude drugs in Japanese circulation. The footer copyright is 2012–2025, funded by a MHLW research grant. Separate Kampo-formula and Japanese Pharmacopoeia crude-drug lists are online.
KampoDB
Kampo mechanism database maintained by the Institute of Natural Medicine, University of Toyama. It links formulas, crude drugs, natural compounds, and target proteins, including known interactions and docking predictions. The about page currently lists 298 Kampo formulas, 180 crude drugs, 3,002 natural compounds, 62,906 proteins or genes, and 3,063,505 docking results. The 2018 Scientific Reports paper is the citation; the site news records a renewal on 15 July 2021.
TradMPD
Traditional Medical and Pharmaceutical Database at the University of Toyama Institute of Natural Medicine. A MEXT regional innovation cluster grant supported it in 2008–2012. It covers crude-drug identity, properties, Kampo composition and indications, and more than 10,000 Kampo papers. The Wakanyaku Library holds nearly 80 compounds plus chemical and bioassay data for hot-water extracts of 80 crude drugs and 80 Kampo extracts, with bioassay downloads from 2024. The database site returned 503 on this check; the institute portal still lists the address.
中药方剂图像数据库
Formula image library from the School of Chinese Medicine, Hong Kong Baptist University, openly browsing composition, actions, indications, and images. The browse page shows about 182 formulas, and the public counter starts in November 2017. It is an online reference, not a bulk formula-table download.
中药材图像数据库
Chinese medicinal-material image library from the School of Chinese Medicine, Hong Kong Baptist University. The library page states more than 420 commonly used crude drugs, with source, origin, morphology, properties, indications, and high-resolution images, searchable by Chinese, Latin, and English names. It has been online since 2013 and is openly browsable, not a bulk download.
TCMSSD
Syndrome-standardization database reported by authors at Zhejiang Chinese Medical University. The paper reports 624 syndromes, 133,518 prescriptions, 8,073 diseases, 8,259 herbs, 43,413 ingredients, and 17,602 targets. The site opens and its front-end script contains syndrome and TCMSSD content; without JavaScript the page is empty. No full-database download entry was found.
TCMPG 2.0
Traditional Chinese medicine plant-genome database maintained by Chengdu University of Traditional Chinese Medicine and collaborators. The current homepage lists 274 plants, 324 genomes, 414 herbs, and 13,809 ingredients, with BLAST, JBrowse, and other tools. A 2024 paper describes the 2.0 upgrade. The site is open for browsing and analysis; a full packaged dump was not verified.
本草典开放数据
Bilingual TCM seed data from the Bencao Dian editorial group, released under CC BY-SA 4.0 as directly downloadable JSON. Version 1, generated on 17 April 2026, lists 365 herb records, 112 formulas, 84 patterns, and 208 acupoints, plus meridians, tongue and pulse entries, and a relation graph. A coverage note on the same page says 335 of about 530 standard materia medica items are included. This is an editorial vocabulary, not a national standard.
SoFDA
Syndrome-ontology platform built by the Institute of Chinese Materia Medica, CACMS, and collaborators. The iMeta 2023 paper describes 319 curated syndromes, 8,045 diseases, and 1,359 formulas, linked to genes, diseases, and formulas. The paper page checks out; the front page currently shows no readable syndrome content. It shares the tcmip.cn host with ETCM but is a separate syndrome system. No anonymous full-database mirror was found.
GB/T 16751.3-2023
Current national standard Clinic terminology of traditional Chinese medical diagnosis and treatment — Part 3: Therapeutic methods, issued and effective on 17 March 2023. The official full-text disclosure system offers online preview and download. This is the therapeutic-method standard page, not a separate vocabulary dump.
GB/T 16751.2-2021
Current national standard Clinic terminology of traditional Chinese medical diagnosis and treatment — Part 2: Syndromes/patterns, issued and effective on 26 November 2021. The official full-text disclosure system offers online preview and download. This is the syndrome-terminology standard page, not a separate vocabulary dump.
GB/T 16751.1-2023
Current national standard Clinic terminology of traditional Chinese medical diagnosis and treatment — Part 1: Diseases, issued and effective on 17 March 2023, under the National Administration of Traditional Chinese Medicine. The official full-text disclosure system offers online preview and download. Syndrome and therapeutic-method parts have their own full-text pages.
GB/T 15657-2021
Current Chinese national standard Classification and codes of diseases and patterns of traditional Chinese medicine, issued and effective on 11 October 2021, replacing GB/T 15657-1995, under the National Administration of Traditional Chinese Medicine. The official full-text disclosure system offers online preview and download. This is the standard page, not a standalone machine-readable code package.
GB/T 12346-2021
Current Chinese national standard Nomenclature and location of meridian points, issued and effective on 26 November 2021, under the National Administration of Traditional Chinese Medicine. The official full-text disclosure system offers online preview and download. This is the standard page, not a separately packaged acupoint table.
WHO西太区标准穴位定位
WHO Regional Office for the Western Pacific standard for acupuncture point locations, published in 2008 and reprinted in 2009. The IRIS record states the surface-location method and 361 points for teaching, research, clinical service, publication, and academic exchange, and provides the English PDF. Experts from China, Japan, and Korea joined the location consensus. The record page is public.
ICD-11传统医学章节
Official WHO explanation of the ICD-11 supplementary chapter Traditional Medicine Conditions. The chapter is for optional dual coding of morbidity and is not used for mortality. Module I covers traditional-medicine conditions that originated in ancient China and are now used in China, Japan, Korea, and elsewhere. This page explains the chapter; the codes themselves are read in the ICD-11 browser. The page is public.
国家中医药古籍数字图书馆
Ancient-book and traditional-knowledge portal started in 2022 by the Institute of Information on Traditional Chinese Medicine, CACMS. It has halls for classical texts, Republican-era documents, and bibliographic catalogs, and links out to reading systems including Guoyi Diancang. The portal opens; full text is reached through the sub-libraries and is not a public bulk download.
中华医典
Commercial sales site (Feixiong Technology) for the Zhonghua Yidian electronic collection. The site states 1,156 classical titles and about 450 million characters, a 2000 national electronic-publication nomination, and Qiu Peiran as editorial reviewer and title writer. Edition 6 is a web version used after purchase and registration, not a public download.
国医典藏
Image-and-text library of historical Chinese medical books from the Institute of Information on Traditional Chinese Medicine and its library, CACMS. The current entry is the version-4 site. Public descriptions put the holdings at roughly 2,500 to 3,000 titles from pre-Qin through the late Qing and Republican periods, with basic, advanced, and controlled-vocabulary search and image-text viewing. Access is by campus network or registration, not a public bulk download.
中医药知识服务平台
Knowledge-service homepage maintained by the Institute of Information on Traditional Chinese Medicine, CACMS, for search, knowledge graphs, and disease profiles. A related about page from the same institute says that, starting in 2019, it built a professional TCM knowledge service for the China Knowledge Centre for Engineering Sciences and Technology, bringing together diseases, formulas, herbs, and literature. The homepage opens; campus trial notes require registration on an institutional network, and no public bulk download was found.
古今医案云平台
Case search, structuring, and mining platform of the Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences. An institute news item on 2026-09-20 states that the current resource holds more than 1.1 million structured historical and modern cases, plus 19.63 million analysis records, with about 53,000 registered users. Registration or institutional login is required, and no public bulk download was found. Some campus trial notes still say about 500,000 cases.
中医横琴 (Hengqin-R1)
Hengqin-R1 is the Guangdong Provincial Laboratory of TCM's vertical reasoning model, combining fine-tuning, reinforcement learning, and a knowledge graph for syndrome reasoning, combined Chinese-Western medication agents, and objective four diagnostics.
张仲景中医药大模型
The Zhang Zhongjing TCM model, released by Henan University of Chinese Medicine and the University of Science and Technology Beijing, covers syndrome differentiation, syndrome-element recommendation, classical formulas, and formula analysis for clinical decision support.
智赋岐黄天功
Zhifu Qihuang Tiangong is a TCM model from Zhifu Qihuang and Harbin Institute of Technology, trained on cases and famous-doctor formulas for several syndrome systems, and it backs four-diagnostic constitution reports under algorithm filing.
岐黄问道
Qihuang Wendao is Nanjing Dajing TCM's vertical model, using a large TCM knowledge graph and clinical data for syndrome diagnosis, prescriptions, and regimen advice in medical institutions.
固生堂中医大脑
Gushengtang TCM Brain connects national-physician AI avatars to the hospital information system for history taking, record drafting, syndrome support, and prescription support with traceable rationale.
伊尹中医经典大模型
The Yiyin classic TCM model from Zhongyi Online is trained on medical canons and classical prescriptions, shows its syndrome-reasoning steps, and supports primary-care clinics in Song County.
众星·长白岐黄
Zhongxing Changbai Qihuang is a multimodal reasoning TCM model from Changchun University of Chinese Medicine and partner universities, with a family health assistant and a Jipai doctor assistant.
砭石云中医
Bianshi Yun Zhongyi is Wisdom Eye's TCM application on its filed multimodal Bianshi model, using a symptom-to-formula knowledge graph for four-diagnostic capture and decision support.
华族本草
Huazu Bencao is an ethnic-medicine model led by Guizhou Medical University, using Shuzhi Qihuang and Qwen to connect multi-ethnic classics and a knowledge graph across ingredient screening, formulation, quality control, and teaching.
岐元
Qiyuan is the Seventh People's Hospital of Shanghai's TCM model, trained with pretraining, domain fine-tuning, and expert reinforcement learning, for generative records and famous-doctor agent twins.
薪火中国药
Xinhuo Zhongguoyao is an education TCM model led by Beijing University of Chinese Medicine for study, teaching, research, administration, and international communication, and it received generative-AI service filing in 2026.
仲思
Zhongsi is a vertical TCM model released by Merchants Union Consumer Finance with Sun Yat-sen University and Shenzhen Hospital of Guangzhou University of Chinese Medicine for QA, consultation notes, and formula suggestions in community clinics.
大医金匮
Dayi Jingui is a TCM model jointly built by Wenge and the China Academy of Chinese Medical Sciences for syndrome reasoning, treatment planning, and four-diagnostic health management.
任度·素问
Rendu Suwen is Transn's TCM model on its Rendu base and moH architecture, offering proactive consultation, syndrome analysis, and formula suggestions, and it passed CAICT's TCM large-model evaluation at level 4+.
天河·灵枢
Tianhe Lingshu is a TCM model from the National Supercomputing Center in Tianjin and Tianjin University of Traditional Chinese Medicine; version 1.0 targets acupuncture with a 3D acupoint avatar, and version 2.0 covers more than 20 clinical specialties.
数智本草
Shuzhi Bencao is Tasly and Huawei Cloud's dual language-and-molecule TCM model, built on Pangu, for classic-text QA, molecular computation, and herbal R&D screening.
数智岐黄
Shuzhi Qihuang is a TCM model from East China Normal University and partner institutes; version 1.0 offers QA and knowledge-graph interaction, and version 2.0 extends it to multimodal Chinese and Western medicine data.
广医·岐智
Guangyi Qizhi is Guang'anmen Hospital's TCM service model for triage, pre-consultation, charting, and syndrome-formula advice; version 2.0 adds an agent doctor and the system has completed algorithm filing.
Cong H et al. 中医古籍知识挖掘范围综述（OSF 预注册）
A scoping-review plan registered on OSF on 15 April 2026. It will map how knowledge graphs, large language models, and the two together are used to draw knowledge out of TCM classics, following PRISMA-ScR. The review is still underway.
Cai R et al. 中医辨证分类范围综述（OSF 预注册）
A scoping-review plan registered on OSF on 3 April 2026. It will map how large language models do TCM syndrome differentiation, syndrome elements, and syndrome reasoning, and will be written to PRISMA-ScR. The review is still underway.
AI in TCM: multimodal data to pharmacology and clinical decision（PRMCM 综述）
An English review that runs from multimodal data and pharmacology to clinical decisions. Pharmacological Research - Modern Chinese Medicine, 2026.
TCMBank
Historical anchor: TCMBank.
ETCM v2.0
Historical anchor: ETCM v2.0.
ETCM
Historical anchor: ETCM.
TCMSP
Historical anchor: TCMSP.
TCMID
Historical anchor: TCMID.
Data-driven based four examinations in TCM: a survey
Historical anchor: Data-driven based four examinations in TCM: a survey.
Research and application of tongue and face diagnosis based on deep learning
Historical anchor: Research and application of tongue and face diagnosis based on deep learning.
Deep Learning Multi-label Tongue Image Analysis and Its Application in a Population Underg
Historical anchor: Deep Learning Multi-label Tongue Image Analysis and Its Application in a Population Underg.
Automatic Construction of Chinese Herbal Prescriptions From Tongue Images Using CNNs and A
Historical anchor: Automatic Construction of Chinese Herbal Prescriptions From Tongue Images Using CNNs and A.
Artificial intelligence in tongue diagnosis: Using deep convolutional neural network for r
Historical anchor: Artificial intelligence in tongue diagnosis: Using deep convolutional neural network for r.
Constitution Identification of Tongue Image Based on CNN
Historical anchor: Constitution Identification of Tongue Image Based on CNN.
Tooth-Marked Tongue Recognition Using Multiple Instance Learning and CNN Features
Historical anchor: Tooth-Marked Tongue Recognition Using Multiple Instance Learning and CNN Features.
Ensemble Learning-Based Pulse Signal Recognition: Classification Model Development Study
Historical anchor: Ensemble Learning-Based Pulse Signal Recognition: Classification Model Development Study.
Diagnostic Method of Diabetes Based on Support Vector Machine and Tongue Images
Historical anchor: Diagnostic Method of Diabetes Based on Support Vector Machine and Tongue Images.
Pulse Waveform Classification Using Support Vector Machine with Gaussian Time Warp Edit Di
Historical anchor: Pulse Waveform Classification Using Support Vector Machine with Gaussian Time Warp Edit Di.
Automated Tongue Feature Extraction for ZHENG Classification in Traditional Chinese Medici
Historical anchor: Automated Tongue Feature Extraction for ZHENG Classification in Traditional Chinese Medici.
Classification of Pulse Waveforms Using Edit Distance with Real Penalty
Historical anchor: Classification of Pulse Waveforms Using Edit Distance with Real Penalty.
Feature extraction and recognition of traditional Chinese medicine pulse based on hemodyna
Historical anchor: Feature extraction and recognition of traditional Chinese medicine pulse based on hemodyna.
A Novel Computerized Method Based on Support Vector Machine for Tongue Diagnosis
Historical anchor: A Novel Computerized Method Based on Support Vector Machine for Tongue Diagnosis.
An ontological framework for the formalization, organization and usage of TCM-Knowledge
Historical anchor: An ontological framework for the formalization, organization and usage of TCM-Knowledge.
Text mining for traditional Chinese medical knowledge discovery: a survey
Historical anchor: Text mining for traditional Chinese medical knowledge discovery: a survey.
Development of traditional Chinese medicine clinical data warehouse for medical knowledge
Historical anchor: Development of traditional Chinese medicine clinical data warehouse for medical knowledge .
Building Clinical Data Warehouse for Traditional Chinese Medicine Knowledge Discovery
Historical anchor: Building Clinical Data Warehouse for Traditional Chinese Medicine Knowledge Discovery.
Information retrieval and knowledge discovery on the semantic web of traditional Chinese m
Historical anchor: Information retrieval and knowledge discovery on the semantic web of traditional Chinese m.
Knowledge discovery in traditional Chinese medicine: State of the art and perspectives
Historical anchor: Knowledge discovery in traditional Chinese medicine: State of the art and perspectives.
Ontology development for unified traditional Chinese medical language system
Historical anchor: Ontology development for unified traditional Chinese medical language system.
Historical Analysis of Medical Artificial Intelligence Development in China: Research Cent
Historical anchor: Historical Analysis of Medical Artificial Intelligence Development in China: Research Cent.
Syndrome Differentiation in Intelligent TCM Diagnosis System
Historical anchor: Syndrome Differentiation in Intelligent TCM Diagnosis System.
Traditional Chinese medical diagnosis based on fuzzy and certainty reasoning
Historical anchor: Traditional Chinese medical diagnosis based on fuzzy and certainty reasoning.
Establishment of a fuzzy mathematical model for syndrome differentiation of gastric cancer
Historical anchor: Establishment of a fuzzy mathematical model for syndrome differentiation of gastric cancer.
Fuzzy match and floating threshold strategy for expert system in traditional Chinese medicine
Historical anchor: Fuzzy match and floating threshold strategy for expert systems in traditional Chinese medicine.
Guan Youbo liver-disease diagnosis and treatment program
Historical anchor: an early computer-based expert system encoding renowned TCM physician Guan Youbo's approach to liver disease.
An artificial intelligence program to advise physicians regarding antimicrobial therapy
Historical anchor: An artificial intelligence program to advise physicians regarding antimicrobial therapy.
Mathematical modeling of Chinese medicine by complex-valued five-agent network
Historical anchor: Mathematical modeling of Chinese medicine by complex-valued five-agent network.
Discovering golden ratio in the world’s first five-agent network in ancient China
Historical anchor: Discovering golden ratio in the world’s first five-agent network in ancient China.
A disturbance rejection framework for the study of traditional Chinese medicine
Historical anchor: A disturbance rejection framework for the study of traditional Chinese medicine.
Equilibrium and nonequilibrium modeling of YinYang WuXing for diagnostic decision support
Historical anchor: Equilibrium and nonequilibrium modeling of YinYang WuXing for diagnostic decision support .
YinYang bipolar logic and bipolar fuzzy logic
Historical anchor: YinYang bipolar logic and bipolar fuzzy logic.
A computer model of the “five elements” theory of traditional Chinese medicine
Historical anchor: A computer model of the “five elements” theory of traditional Chinese medicine.
Functional structure model of human body and Yinyang-Wuxing equations
Historical anchor: Functional structure model of human body and Yinyang-Wuxing equations.
GPT vs ERNIE 中医文化背景对比研究
Looks at how cultural background changes the way GPT and ERNIE handle the national TCM licensing exam. Journal of Integrative and Complementary Medicine, 2025.
Tree-organized self-reflective retrieval for TCM QA
Tree-organized self-reflective retrieval for TCM question answering (Frontiers in Medicine 2026).
RACE-Align
RACE-Align: retrieval-augmented, CoT-style DPO alignment of a compact Qwen3-1.7B for TCM reasoning. arXiv PDF authors at ShanghaiTech, Henan University, and Liaoning University of TCM.
仲景（CMtMedQA 线，Yang et al.）
ZhongJing (CMtMedQA line, Yang et al.): a TCM LLM distinct from the Kang-line ZhongJingGPT—full CPT+SFT+RLHF pipeline on Ziya-LLaMA-13B over ~70K real multi-turn doctor-patient dialogues (AAAI 2024).
LLM-Based Multi-Agent Systems for Clinical Workflows（ACL 2026，邻近）
Adjacent ACL 2026 survey of workflow-level multi-agent clinical systems with a four-layer evaluation stack; no TCM coverage but methodologically isomorphic process-evaluation claims.
医学大语言模型的研发与应用系统综述（智能系统学报，邻近）
Adjacent systematic review of 129 medical-domain LLMs (to 2024-06) and four clinical application categories; methodologically comparable search protocol.
医疗领域的大型语言模型综述（智能系统学报，邻近）
Adjacent Chinese general survey of medical LLMs (training pipeline, strategies, scenarios, challenges), a superset-context reference for TCM LLM surveys.
Intelligent Question-Answering Systems in Healthcare（Healthcare，邻近）
Adjacent review (not TCM-specific): 2018-2025 healthcare QA survey with CiteSpace bibliometrics, explicitly covering TCM formula-development scenarios (Healthcare 2025).
人工智能实现中医四诊的发展现状、问题及解决路径（中华中医药学刊）
Reviews where AI stands across the four TCM examinations. Inspection photographs the face, tongue, sublingual vessels, lips, and eyes and quantifies them with segmentation and color models; auscultation and olfaction capture abnormal sounds and odors and analyze them with neural networks and electronic noses. Published in Chinese Archives of Traditional Chinese Medicine, 2025, 43(11).
人工智能赋能中医数字化诊断：现状与挑战（中华中医药学刊）
A short essay on what AI can do for digital TCM diagnosis, and on data quality, explanations, and joining the models to TCM theory. Published in Chinese Archives of Traditional Chinese Medicine.
AI for Spleen-Stomach Disorders in TCM（Curr Med Sci）
Single-disease-area (spleen-stomach) review of KG plus intelligent diagnosis/treatment with a symptom-syndrome-disease-formula framework (Curr. Med. Sci. 2025;45(6)).
AI and Big Data in TCM Standardization and Internationalization（Chin Med Cult）
An essay on how AI and big data can help standardize traditional Chinese medicine and carry it abroad. Chinese Medicine and Culture, 2026, volume 9, issue 3.
AI empowers the innovation of TCM（J Integr Med 评论）
Single-author perspective on AI for TCM innovation: classics mining, diagnosis standardization, drug R&D cycles (J. Integr. Med. 2026).
古籍知识图谱×多智能体融合综述（Chin Med）
Challenges-and-prospects review of knowledge-graph construction over ancient TCM classics, first to frame multi-agent convergence in this area (Chin. Med. 2025;20:168).
The integration of machine learning into TCM（J Pharm Anal）
Review of machine-learning integration into TCM along diagnostic objectification and mechanism-elucidation lines (J. Pharm. Anal. 2025;15(8):101157).
Deep learning in TCM（J Integr Med）
Single-technology review of deep learning in TCM: medical imaging, herbal material research, data mining (J. Integr. Med. 2026;24(4):471-480).
AI in TCM: Unraveling Herbal Medicine's Mechanisms（Research）
Broad AI-in-TCM review arguing AI should move beyond correlational analysis toward reconstructing the biological logic of syndrome differentiation and formula compatibility (Research 2026;9:1224).
多模态大模型驱动舌脉面诊智能化综述（Springer 书章）
The only review text dedicated to multimodal-LLM-driven tongue, pulse, and facial diagnosis in TCM (Springer CCIS book chapter; weaker peer review than journals).
OASIS (KIOM)
KIOM traditional-medicine literature portal for Korean-medicine papers and herbal resources. The Korean-medicine paper search went online in June 2007 and was rebuilt as a traditional-medicine portal in July 2009.
Korean Medicine Embedding Dataset
Query–positive–negatives (~113k pairs) built from Korean-medicine terms and an ontology, for embedding fine-tunes such as BGE-M3.
KNApSAcK KAMPO
NAIST Kampo public database (~1,581 formulas, 278 crude drugs), downloadable from the NBDC life-science archive.
webMedQA
Early Chinese non-factoid medical QA from health-consult sites (~63k questions, one positive and four negative answers each).
IMCS-21
About 4,116 pediatric online consults annotated for entities, intents, symptoms, and reports; later wired into four CBLUE dialogue tasks.
CBLUE
Chinese biomedical NLU benchmark (NER, relations, diagnosis normalization, classification); the source-task suite behind PromptCBLUE, with a Tianchi submission portal.
CMeKG
Chinese medical knowledge graph of diseases, drugs, and symptoms; main source for BenCao/HuaTuo and ChatGLM-Med instruction data. Official portal is unstable; verify via the tools repo.
MedDialog
Large doctor–patient dialogue corpus (about 1.1M Chinese encounters) used for multi-turn Chinese medical fine-tuning.
cMedQA2
Chinese community medical QA (~108k questions / 200k answers), a common source for BianQue-style SFT mixtures.
cMedQA
Chinese community medical QA-matching set (repo table ~54k questions / 102k answers; non-commercial research). Paper DOI matches the README; see cMedQA2 for the later release.
ChiMed (Qilin)
Qilin-Med's ~3GB Chinese medical corpus (CPT/SFT/DPO); not the same resource as the ChiMed 2.0 pretraining set.
DISC-Med-SFT
Fudan DISC medical-dialogue SFT set (~470k examples from KG triples and reconstructed consults; no preference data).
PromptCBLUE
CBLUE's 16 Chinese medical NLP tasks rewritten as generative instructions; an early unified Chinese medical LLM leaderboard (CCKS 2023).
Huatuo-26M
Largest open Chinese medical QA resource (~26M pairs from encyclopedias, KGs, and consults); Huatuo-Lite is the usual SFT/RAG subset.
CMExam
Chinese medical licensing-exam set (~68k annotated items) used as a knowledge-recall baseline by Chinese medical and TCM LLMs.
CMB
FreedomIntelligence comprehensive Chinese medical benchmark (CMB-Exam ~280k items plus CMB-Clin cases); the most common non-TCM comparison board in TCM LLM papers.
TM-MC
KIOM's literature-derived database of Northeast Asian medicinal materials and compounds. The 2015 release covers about 536 materials, and the 2024 version 2.0 expands to about 34,000 compounds. The old address says the data and services have moved to tm-mc.kr.
CVDHD
3D structures of 35,230 natural products from cardiovascular herbs, docked to 2,395 target proteins, with related diseases, pathways, and clinical biomarkers. The original Peking University site timed out on this check.
TCMGeneDIT
Text-mined links among TCM, genes, diseases, effects, and ingredients, joined to pathways and protein interactions. tcm.lifescience.ntu.edu.tw does not resolve on this check.
TCM-Mesh
Network-pharmacology resource with 6,235 herbs, 383,840 compounds, 14,298 genes, 6,204 diseases, 163,221 side-effect records, and 71 toxicity records. The old site returned 403 on this check.
TCMAnalyzer
Sun Yat-sen University toolkit for scaffold search of bioactive ingredients and for networks of molecules, targets, pathways, and diseases. rcdd.org.cn timed out on this check.
SuperTCM
Charité resource of 6,516 TCM drugs, 5,372 botanical species, 55,772 active ingredients, 543 targets, 254 KEGG pathways, and 8,634 diseases. tcm.charite.de does not resolve on this check.
CMAUP
BIDD landscape of multi-target activities, pathways, and diseases for useful plants including TCM herbs; 2024 update, downloadable from the official site.
DCABM-TCM
Literature-mined blood constituents and metabolites of TCM prescriptions and herbs, with experimental detection conditions (~1,816 structured absorbed constituents).
ITCM
Integrated formula/herb/ingredient/target platform plus 1,488 pharmacotranscriptomic profiles for 496 TCM ingredients (expression data also on Synapse).
TCMBank
Large downloadable herb–ingredient–target–disease resource with literature-mining updates after manual checks.
YaTCM
1,813 prescriptions, 6,220 herbs, and 47,696 natural products, with target and pathway tools. The Nankai site returned 403 on this check.
CEMTDD
An herbal–compound–target–disease resource centered on Uygur and Kazakh medicines. The paper reports about 621 herbs.
TCMIO
Immuno-oncology TCM database of prescriptions, herbs, ingredients, targets, and pathways, with downloads and a REST API.
LTM-TCM
Links 14 TCM databases with clinical records and classical books across symptoms, prescriptions, plants, ingredients, and targets: 1,928 symptoms, 48,126 prescriptions, 9,122 plants, 34,967 ingredients, and 13,109 targets. cloud.tasly.com does not resolve on this check.
HIT 2.0
Manually curated herbal-ingredient–target activity pairs (~1,237 ingredients / 2,208 targets, 2000–2020 literature). Portal opens; the analysis backend port is currently down (marked site issue).
TCM Database@Taiwan
More than 20,000 pure compounds isolated from 453 TCM ingredients, each in 2D and 3D, for virtual screening. tcm.cmu.edu.tw timed out on this check.
BATMAN-TCM 2.0
Known and predicted TCM ingredient–target protein interactions, with greatly expanded TTI coverage and target-to-ingredient search.
SymMap 2.0
Maps among herbs, TCM symptoms, modern symptoms, ingredients, targets, and diseases. The site is now version 2.0, updated with the 2020 Chinese Pharmacopoeia, and the relationship tables can be downloaded. The footer is dated 2022.
HERB 2.0
Evidence-centered TCM resource integrating clinical trials, meta-analyses, high-throughput experiments, literature, and a knowledge graph.
ETCM 2.0
Encyclopedia of TCM formulas, patent drugs, materia medica, and ingredients with target prediction and multi-scale networks; v1 site remains online.
TCM-ID
NUS BIDD formula–herb–ingredient–target resource covering pharmacopoeia, classical, and CFDA-approved prescriptions; not the same database as TCMID 2.0.
TCMID 2.0
East China Normal University's database of formulas, herbs, ingredients, and targets. The data and the paper are on Zenodo and in Nucleic Acids Research. It is a different database from NUS TCM-ID. megabionet.org/tcmid timed out on this check.
TCMSP
A pharmacology site for herb ingredients, targets, diseases, and ADME numbers. The site now keeps version 2.3 beside the newer 9.0.1, and the relationship tables can be downloaded.
白泽 (Baize)
Baize TCM LLM weights.
medchatzh
MedChatZH weights.
ZhongJing
ZhongJing GPT weights.
TCMChat
TCMChat weights.
ShizhenGPT
ShizhenGPT multimodal weight series.
ShenNong-TCM-LLM
ShenNong-TCM-LLM weights.
Lingdan
Lingdan / TCMLLM weights.
ChatTCM-7B-SFT
ChatTCM full-parameter SFT checkpoint.
ChatTCM
ChatTCM pretrained weights.
BianCang
BianCang open-weight series.
杏核 (Xinghe)
Xinghe Neijing reasoning model weights.
TCM-QG
Question-generation data from TCM texts: 3,500 documents, with one to four human-written question-answer pairs each. The license is CC BY-NC 2.0.
TCM-PD
Yao et al. TKDE 2018 prescription topic-model set (98,334 raw / 33,765 processed symptom–herb ID pairs). CKCEST copyright, research use only. PresRecST's prescript_1195.csv is a reproduction table.
TCM-Lung
Pulmonary-disease cases from FAH-HUCM (14,948 processed; 4,484 encoded public rows of symptom/syndrome/method/prescription IDs). Full names on request. Not the same resource as TCMNSCLC.
TCM-SD
First large public TCM syndrome-differentiation text benchmark (54,152 real records, 148 syndromes, CC BY-NC-SA 4.0). Full set is in the repo folder TCM_SD_with_knowledge; Tianchi id 139034.
TCM-NER
Named-entity data from Chinese medicine package inserts, for a medication knowledge graph. The license is CC BY-NC 2.0.
TCM_KG
A TCM knowledge graph built with Neo4j community edition. The sample query starts from the symptom node for constipation and returns its neighbors.
TCM-MKG
Open multidimensional TCM knowledge graph of terminology, herbal pieces, and medicinal properties. The companion paper uses interpretable graph neural networks on 6,080 formulas, with a check on 215 COVID-19 formulas.
LingShu（灵枢知识图谱）
Symptom-centric contextual KG bridging TCM and biomedicine (~17.33M entities, ~39.47M relations including triples and contextual quadruples), with a portal for visualization, reasoning, and evidence-grounded QA.
OpenTCM-KG
OpenTCM gynecology classics KG (~48k entities / ~152k relations).
TCMNSCLC
Real-world NSCLC TCM reasoning dataset with fully annotated cases (pattern differentiation / treatment method / decoction / patent medicine).
ChP-TCM
KnowledgeQA and PrescriptionWriting instructions built from Chinese Pharmacopoeia Vol. I.
Traditional-Chinese-Medicine-Dataset-SFT
High-quality TCM supervised fine-tuning dataset.
TCMChat-dataset-600k
TCMChat herbal QA and recommendation instruction data (~600k).
TCM-Instruction-Tuning-ShizhenGPT
ShizhenGPT multimodal SFT data (text/vision/speech/ECG etc.; ~311k items total per paper Table 3).
ShenNong_TCM_Dataset
ShenNong TCM instruction dataset.
MedChatZH
MedChatZH TCM consultation dataset.
ChatMed_Consult_Dataset
Chinese online-consultation set of 110,113 pairs. The questions come from consultation sites and the answers were written by GPT-3.5.
CMtMedQA
ZhongJing real multi-turn doctor–patient dialogues (~70k).
Baize-TCM-Corpus-V3
~157k TCM QA items covering theory, herbs, formulas, diagnosis, acupuncture, and clinic.
neijing-sft-v1.2
~2,009 Neijing-related instruction samples for Xinghe, with thinking/output fields.
TCM-Text-Exams
Recent TCM licensure / graduate-exam text benchmark.
Medical-LLMs-Chinese-Exam
Chinese medical exam evaluation for medical LLMs.
ZhongJing-OMNI
ZhongJing-OMNI multimodal TCM eval (including tongue).
TCMEval-SDT
TCMEval-SDT: a benchmark of 300 syndrome-diagnosis cases (web, classical texts, hospital records) for evaluating TCM syndrome-differentiation reasoning, with FAIR metadata (Sci. Data 2025).
TCMBench
TCMBench: a comprehensive benchmark for evaluating LLMs in traditional Chinese medicine (arXiv 2024).
TCM-Vision-Benchmark
TCM vision benchmark (herb recognition / inspection, ~7k items).
TCM-Tongue
6,719 standardized tongue images with 20-class multi-label pathology annotations and detection baselines.
TCM-Ladder
TCM-Ladder: a multimodal QA benchmark for comprehensively evaluating TCM multimodal LLMs on real-world tasks (arXiv 2025).
TCM-Eval
Dynamic, extensible TCM evaluation platform.
TCM-BEST4SDT
Case benchmark for syndrome differentiation and treatment.
TCM-5CEval
Five-dimension deep TCM evaluation suite.
TCM-3CEval
Three-axis eval: core knowledge, classics, clinical decisions.
MTCMB
MTCMB dataset: a multi-task TCM benchmark covering knowledge, reasoning and safety, 12 subsets with ~7,100 samples (arXiv 2025).
HWTCMBench
HWTCMBench TCM capability evaluation set.
TCMEval-PA
328 multiple-choice items on prescription normative quality and safety auditing.
TCM-AQA61
Synchronized first- and third-person videos of acupuncture and Tuina, 61 subjects each. Two experienced TCM physical therapists assessed every subject independently, then reconciled disagreements. Paired with the CME-AQA cross-view assessment framework.
LingLan
LingLan large multi-task TCM evaluation benchmark (2026).
ChiMed 2.0
Upgraded Chinese medical pretraining dataset covering TCM corpora for LLM pretraining.
classical-tcm-canon
Full-text digitizations of the TCM canon: Neijing, Nanjing, Shanghan Lun, Jingui Yaolue and warm-disease classics.
Traditional-Chinese-Medicine-Dataset-Pretrain
High-quality TCM pretraining dataset from non-Internet sources (~1GB; clinical cases, classics, encyclopedia), 99% simplified Chinese.
TCM-Pretrain-Data-ShizhenGPT
ShizhenGPT pretraining corpus. The paper reports 15B+ tokens — Stage 1 text 11.92B including 6.3B TCM, and Stage 2 multimodal data of 3.8B tokens in the main text and 3.84B in the appendix.
TCM-Ancient-Books
A corpus of nearly 700 TCM ancient-book texts.
awesome_Chinese_medical_NLP
Curated list of Chinese medical NLP resources: terminologies, corpora, word vectors, pretrained models, KGs, NER and QA (incl. CBLUE).
CPM中成药数据集
Living large-scale public Chinese patent medicine data accompanying RAG-CPMF.
Lukman et al. 2007: 中医计算方法综述
Foundational survey of computational methods for TCM (expert systems, ML, data mining).
Gu & Chen 2013: 生物信息学遇见中医
Historical review of bioinformatics meeting TCM (omics and text mining).
Zhao et al. 2015: 中医患者分类进展（ML 视角）
Review of ML-driven advances in patient classification for TCM.
Chu et al. 2020: 中医定量知识表示模型综述
Review of quantitative knowledge representation models of TCM (ontologies, rules, statistics).
Zhang et al. 2021: 计算中医诊断文献综述
Literature survey of computational TCM diagnosis — symptom acquisition, pattern modeling, and systems.
Tian et al. 2024: 四诊机器学习综述
Review of machine learning for TCM four diagnoses — inspection, auscultation-olfaction, inquiry, and palpation.
Qu et al. 2024: 中医知识图谱综述
Review of knowledge graphs in TCM — analysis, construction, applications, and prospects.
Song et al. 2024: AI 辅助中医辨证关键问题与技术挑战
Strategic-study review of key issues in AI-assisted TCM syndrome differentiation — multimodal fusion, symptom association, pattern quantification and reasoning, and TCM LLMs.
Su et al. 2024 — Review of AI in TCM diagnosis and treatment (Chinese)
Chinese-language review of three AI stages in TCM care — expert systems, ML, and deep learning — with challenges.
Li et al. 2024: Research progress and application prospects of large language models in TCM
Chinese-language review of TCM LLM pipelines, frontier techniques (prompting/RAG/RLHF), and application prospects.
Yip et al. 2025: 中西医结合 LLM 进展与挑战
Review of LLMs in integrative medicine — progress, challenges, and opportunities.
Wang et al. 2025: AI 驱动中医诊断模型进展
Overview of AI-driven TCM diagnostic models (four-diagnosis objectification, pattern differentiation).
Meng et al. 2025: 大模型+虚拟细胞助力中医变革
Review of large models and virtual cells aiding modern analysis of stroke treatment with TCM formulas.
Zhang et al. 2025: 中医 LLM 短综述与展望
Short survey and outlook on TCM LLM models and tasks.
Shataer et al. 2025: LLM 在中医应用（State-of-the-Art Review）
State-of-the-art review scanning TCM LLM application scenarios (care, education, translation, research).
Guo et al. 2025: GPT 能否加速中医智能诊疗（综述+实证）
Survey plus empirical analysis of whether GPTs can accelerate intelligent TCM diagnosis and treatment.
Chen et al. 2025: 中医大语言模型系统综述
Systematic review of 10 studies (to mid-2024) on LLMs in TCM generative tasks.
Ren et al. 2025: 中医大语言模型（Scoping Review）
Arksey-O'Malley scoping review (29 studies to 2024-04) covering knowledge management, assisted care, and exam accuracy.
Lu et al. 2026: 深度学习中医诊断方法学质量审计
Systematic review and validation-gap analysis of deep learning for TCM disease diagnosis.
Wu et al. 2026: AI 在中药材中的应用综述
Full-stack survey of AI in TCM herbs — compounds, targets, quality control, with an LLM section.
Guo et al. 2026: AI 与多模态数据融合推动中医现代化
Panoramic AI review (ML/DL/KG/NLP/LLM) for TCM modernization with multimodal data integration.
Chen et al. 2026: LLM 在中医的下一步（叙述性综述）
Narrative review on the next step of LLMs in TCM — multimodality, agents, and clinical translation.
Xu et al. 2026: 基于 LLM 的中医智能问答系统综述
Review of intelligent TCM question-answering systems based on LLMs (KG-QA to LLM-QA and RAG).
Yao et al. 2026: LLM 与循证中医整合（Scoping Review）
PRISMA scoping review (12 studies, 2022-11 to 2026-01) on integrating LLMs with evidence-based Chinese medicine.
Han et al. 2026: LLM 在中医中的调优与临床应用（Scoping Review）
PRISMA-ScR scoping review (27 studies to 2025-05) on tuning (LoRA/CPT/RAG) and clinical application of TCM LLMs.
中医症状名识别
Supervised methods for symptom name recognition in free-text TCM clinical records.
中医临床细粒度 NER 语料
Fine-grained entity-recognition corpus built from TCM clinical records.
TCMPR 子网术语映射处方推荐
Herb-symptom knowledge graph (~18k entities / ~100k relations) plus subnetwork term mapping and a CNN for prescription recommendation.
中医期刊关系抽取 (Wang & Poon 2016)
Relation extraction from TCM journal full text to support later knowledge-graph construction.
语义中医方剂知识图谱 (Miao et al. 2018)
Semantic TCM prescription knowledge graph built top-down from formula texts.
中医养生知识图谱 (Yu et al. 2017)
Large TCM health-preservation knowledge graph integrating terms, literature, and databases, with retrieval, visualization, and recommendation.
TCMKG
Deep-learning-based TCM knowledge graph platform.
乙肝中医 KG 问答系统
Knowledge-graph-based QA system for TCM diagnosis and treatment of viral hepatitis B.
中医新冠文献 LLM 命名实体识别
Comparative study of LLMs for named entity recognition in TCM COVID-19 literature (preprint).
PreGenerator
TCM prescription recommendation model combining retrieval and generation.
草药智能配送聊天机器人
Smarter herbal medication delivery system employing an AI-powered chatbot.
LLM+GNN 中医处方推荐
TCM prescription recommendation combining large language models with graph neural networks.
中医方剂 LLM 分类
Fine-tuned LLMs with refined prompt templates for TCM formula classification, using data sources such as the national medical-insurance catalog of proprietary Chinese medicines (IEEE BIBM 2023).
中医疫病防治问答模型
LLM-based QA model for TCM epidemic prevention and treatment.
ChatGPT 针灸教育研究
Comparative study of ChatGPT as a learning tool in acupuncture education.
大模型融合知识图谱问答系统
Vertical-domain QA system deeply integrating LLMs with knowledge graphs for TCM formulas.
黄帝 (HuangDi)
HuangDi: a TCM classics QA LLM built on Ziya-LLaMA-13B, pretrained on 22 TCM textbooks plus TCM web corpora and SFT-tuned with ancient-book instruction data (Library Tribune 2024).
女娲 (Nüwa / TCM-Nvwa)
A TCM training stack on Ziya-LLaMA-13B: continued pretraining, supervised fine-tuning, a reward model, and RLAIF. The repository includes part of the pretraining, question-answer, and reward data. The weights are not released on their own.
神农大模型 (ShenNong-TCM-LLM)
ShenNong-TCM-LLM, the first TCM large language model, released with the ShenNong_TCM_Dataset and open weights.
KM-Agent
Tool-augmented agent for Korean / East Asian traditional medicine over 4,780 herb–syndrome–acupoint metadata records, evaluated on TCMBench-style sets. MDPI/OpenAlex authors at Wonkwang University and Pusan National University et al.
KAMPO LLM
Official site still live. Closed Kampo API from VARYTEX with the Japan Society for Oriental Medicine; page reports 97.4% (Pro) and 92.1% (Flash) on 471 specialist-training items; no public weights.
Ant Afu
On 5 July 2024, Alipay released a multimodal medical model at the World Artificial Intelligence Conference, built on Bailing and able to read medicines, reports, and images. On 15 December 2025 its health app AQ was renamed Ant Afu; users can photograph skin, lab reports, and medicine boxes.
PanGu Drug Model
Closed Huawei Cloud / SIMM molecule foundation model (~1.7B small molecules) for property prediction, generation, and optimization; later used under Shuzhi Bencao.
Tencent Hunyuan Medical
Closed Tencent Health medical LLM on Hunyuan for QA, triage, records, and imaging; announced by Tencent Jarvis Lab, no public weights.
iFlytek Spark Medical
iFlytek Spark Medical X1, released in March 2025 and used in Xiaoyi. The reported tests draw on Xiaoyi, Zhiyi Assistant, and other real clinical settings.
ClinicalGPT
BUPT clinical Chinese medical model (BLOOM-7B) fine-tuned on records, knowledge, exams, and multi-turn consults; a common CMB-era baseline. HF hosts a medicalai snapshot.
ChatGLM-Med
HIT-SCIR ChatGLM-6B instruction-tuned on Chinese medical KGs, sharing data lineage with BenCao/HuaTuo; a frequent CMB baseline.
IvyGPT
LLaMA-based Chinese medical QA model fine-tuned with curated clinical QA and RLHF; listed as an open baseline in the CMB paper. arXiv PDF authors at Macao Polytechnic University.
BianQue-2
Second BianQue open consultation model with stronger multi-turn questioning; a common CMB baseline.
CareGPT
Open Chinese medical LLM training stack (pretrain through DPO) with accompanying weights, often used to reproduce Chinese medical fine-tunes. README attributes the work to Macao Polytechnic University.
SoulChat
SCUT mental-health dialogue LLM from the same lab as BianQue; a common Chinese health-conversation baseline.
MedicalGPT
Open training stack for Chinese medical LLMs (pretrain/SFT/RLHF/DPO), often reused as a baseline pipeline in TCM fine-tuning.
DoctorGLM
Early open Chinese consultation model on ChatGLM-6B with LoRA/P-Tuning; a frequent 2023 Chinese medical baseline. arXiv HTML authors at ShanghaiTech and United Imaging Intelligence et al.
Apollo
FreedomIntelligence multilingual medical LLM (including Chinese) with ApolloCorpus and XMedBench.
ChiMed-GPT
USTC Chinese medical LLM continued from Ziya-v2 with pretraining, SFT, and RLHF for extraction, QA, and multi-turn dialogue.
Qilin-Med
Multi-stage Chinese medical LLM (CPT+SFT+DPO on Baichuan-7B) releasing the ~3GB ChiMed corpus, optionally with RAG. arXiv PDF authors at Peking University and HKUST (Guangzhou) et al.
Taiyi-2
Second Taiyi open biomedical model, moving from Qwen-7B to GLM4-9B with tighter data filters and task instructions. The model card still cites the Taiyi-1 JAMIA paper (10.1093/jamia/ocae037); there is no separate Taiyi-2 paper.
Taiyi
DUTIR bilingual biomedical LLM on Qwen-7B for QA, doctor–patient dialogue, report generation, and information extraction (JAMIA 2024).
WiNGPT3
Winning Health's third medical reasoning model (32B on Qwen2.5) with multi-stage SFT+RL and WiNEX hospital integration; tech report and code are public, weights are not verified as downloadable.
WiNGPT2
Winning Health open medical LLM on Qwen for medical QA, record understanding, and multi-turn consults; 7B/14B weights are public.
PULSE
OpenMEDLab Chinese medical LLM. PULSE-7b is fine-tuned from bloomz-7b1-mt and PULSE-20b from InternLM-20B, for exams, report reading, record structuring, and simulated diagnosis.
DISC-MedLLM
Fudan DISC conversational medical LLM on Baichuan-13B, with DISC-Med-SFT built from knowledge graphs and reconstructed consultations.
HuatuoGPT-Vision
HuatuoGPT multimodal medical model that injects visual knowledge at scale; a common Chinese medical vision baseline.
HuatuoGPT-o1
HuatuoGPT medical complex-reasoning model trained with verifiable problems and a medical verifier. The repository lists 7B, 8B, and 70B checkpoints.
HuatuoGPT-II
Second HuatuoGPT generation with one-stage medical adaptation; 7B/13B use Baichuan2 backbones and remain a standard Chinese medical baseline.
Baichuan-M3
Baichuan's third open medical reasoning model (235B on Qwen3) with SPAR staged RL and fact-aware RL for active inquiry and hallucination control; strong HealthBench and SCAN-bench results.
Baichuan-M2
Baichuan's second open medical reasoning model (32B on Qwen2.5-32B) with a large verifier system and multi-stage RL; strong open-source HealthBench results.
Baichuan-M1
Baichuan's from-scratch open medical LLM (14B), trained on ~20T medical+general tokens across 20+ specialties; a common base for later TCM fine-tunes.
BianQue
Chinese proactive health LLM for everyday living spaces (BianQue).
孙思邈 (Sunsimiao)
Sunsimiao Chinese medical LLM; Sunsimiao-7B fine-tuned from Qwen2-7B on curated medical data, reaching 30B-level SOTA on CMB-Exam.
QiZhenGPT
Chinese clinical QA model for drugs, diseases, procedures, and labs (QiZhenGPT).
HuaTuoGPT
Large language model trained on Chinese medical corpora (HuaTuoGPT).
XrayGLM
Chinese multimodal medical LLM for chest X-ray interpretation.
ChatMed
ChatMed series of Chinese medical LLMs, including ChatMed-Consult trained on 500k+ online consultation dialogues. GitHub README cites Wei Zhu and Xiaoling Wang; no standalone journal paper.
RAG 增强中医问答置信度
Implementing retrieval-augmented generation to build LLM confidence in TCM (preprint).
GPT-4 中医研究生考试评估
GPT-4 vs mainstream Chinese LLMs on a TCM postgraduate examination dataset (preprint).
中医药问答大语言模型
TCM QA LLM combining RAG with P-Tuning v2 fine-tuning on ChatGLM2-6B.
中医标准化评估基准
Standardized TCM evaluation benchmark of 29,506 questions across 13 subjects; tests 3 general and 5 Chinese medical LLMs.
中医药大模型知识增强方法
Knowledge augmentation for TCM LLMs — a graph built from ~100k classical formulas preserving prescription structure.
ACUBERT
ACUBERT for meridian entity recognition and classification in acupuncture indication knowledge bases.
BSG 中医智能问答
Intelligent QA system for TCM based on a BSG deep-learning model (prescription and materia medica cases).
TCMD
TCMD, a TCM licensing-exam multiple-choice set for LLM evaluation (paper reports ~2,851 train / 600 test). Independent check found no official GitHub or Hugging Face download.
PresRecST
Progressive herb-prescription recommendation following syndrome differentiation then treatment planning (JAMIA 2024); ships a public encoded TCM-Lung subset and a TCM-PD reproduction table.
RLAIF 中医对齐
Enhancing LLMs' TCM capabilities through reinforcement learning from AI feedback.
中医提示工程框架
Prompt-engineering framework for LLM intelligent understanding in TCM.
ChatGPT 中医知识理解探究
Evaluating ChatGPT's comprehension of Traditional Chinese Medicine knowledge.
TCMSF
TCMSF: a construction framework for a TCM syndrome ancient-book knowledge graph that organizes syndrome knowledge from classical texts in a structured, semantically oriented way (Methods Inf. Med. 2024).
TCM MLKG-RAG
TCM intelligent diagnosis based on multi-layer knowledge graph retrieval-augmented generation.
TCM-BERT
BERT further pretrained on TCM clinical text for five-way disease classification (JAMIA 2019). CKCEST holds copyright; the full 46,205 records are not released, only splits plus drive-hosted fine-tuned weights.
ZY-BERT
Domain TCM encoder from the TCM-SD paper (~0.4B-token corpus); weights are on cloud drive, with syndrome-differentiation fine-tune code in the repo. Not the same work as arXiv 2411.00897.
Evi-BERT
Automated information-extraction model (Evi-BERT) enhancing RCT evidence extraction for TCM.
ChatGPT 中医交互可行性研究
Feasibility and challenges of interactive AI for TCM, using ChatGPT as an example.
中医领域知识图谱补全
Domain knowledge graph completion and quality evaluation for Traditional Chinese Medicine.
LLM 构建中医知识图谱
Constructing Traditional Chinese Medicine knowledge graphs based on large language models.
LLM 中医语言文化偏差研究
Comparing LLMs developed in different countries on TCM; highlights language/cultural bias and the need for localized models.
LLM 腧穴定位关系抽取
Relation extraction with LLMs — a case study on acupuncture point locations.
TCM-FTP
Fine-tuning LLMs for herbal prescription prediction.
CPMI-ChatGLM
Parameter-efficient fine-tuning of ChatGLM with Chinese patent medicine instructions. Authors at Anhui University of Chinese Medicine and CACMS Anhui Computer Application Research Institute.
TCM-GPT
Efficient pre-training of LLMs for domain adaptation in Traditional Chinese Medicine. Journal metadata lists BUPT and UCL.
BenCao (formerly HuaTuo)
BenCao, first called HuaTuo, is an instruction-tuned medical model from HIT SCIR, trained with Chinese medical knowledge. The 2023 paper is HuaTuo. The same group later published a knowledge-tuning paper in ACM TKDD in February 2025.
明医 (MING)
MING: a Chinese medical consultation LLM using a sparse mixture of low-rank adapter experts (MING-MoE) for medical multi-task learning (arXiv 2024).
大数中医 (BigDataTCM)
BigDataTCM (34B): a vertical TCM LLM co-developed by HAUT's Complexity Science institute and Apus, offering medical QA, diagnostic support and TCM knowledge services.
DFGLM-TCM
Dongfang Hospital / Zhipu TCM clinical system that models textbook knowledge and practitioner experience in separate modules. The paper is out. The code and the training and validation datasets are not public; qualified researchers can request them from the corresponding author.
Lingdan-V2
BJTU's second Lingdan TCM reasoning family (Qwen3 4B/8B/14B with CPT, SFT, and prescription GRPO). The ModelScope weights are under Apache-2.0.
TCMLLM / Lingdan
TCMLLM / Lingdan for TCM modeling and prescription recommendation.
MedChatZH
MedChatZH: a fine-tuned LLM for TCM consultation dialogues, released with open dataset and weights (Comput. Biol. Med. 2024).
Chinese-LLaVA-Med
Chinese medical multimodal LLM based on the LLaVA architecture, with the llava-med-zh-eval benchmark and open 7B weights.
GPT 台湾中医执业考试评估
GPT-3.5/GPT-4/GPT-4o performance on the Taiwan TCM licensing examination with reliability analysis (preprint).
双通道知识注意力辨证模型
Dual-channel knowledge-attention NLP model for TCM syndrome differentiation, addressing rare characters and terminology extraction.
中医药标准知识问答系统
Retrieval-augmented QA system for TCM standards knowledge, built and evaluated in practice.
Hengqin-RA-v1
LLM and companion dataset for TCM diagnosis and treatment of rheumatoid arthritis. arXiv has withdrawn the preprint because the authorship and affiliation could not be verified; the author line now lists Yishen Liu.
Gen-SynDi
Knowledge-guided generative-AI framework for dual education of syndrome differentiation and disease diagnosis.
辨证思维评测 (Syndrome Differentiation Thinking)
Method-development study evaluating and improving LLMs' TCM syndrome-differentiation thinking ability.
针灸大模型驯化与生成评估 (Taming LLMs for Acupuncture)
Taming LLMs for acupuncture & moxibustion diagnosis, with generation quality evaluated at the semantic-similarity level.
TCM-Sage
Evidence-synthesis RAG assistant for TCM practitioners (hybrid vector + knowledge graph).
From Metaphor to Mechanism
LLMs decode TCM metaphor / imagistic-thinking language and map it to modern medical concepts.
New Snow Tablets
Reveals systematic flaws of general and TCM-specific LLMs that guess formula ingredients from drug names.
TCDiff
Triplet cascaded diffusion model generating high-fidelity multimodal TCM EHRs, with the TCM-SZ1 benchmark dataset.
Ladder-base (GRPO-TCM)
First GRPO reinforcement-learning-aligned TCM LLM, from the TCM-Ladder team. arXiv PDF authors at University of Missouri and Shanghai University of TCM et al.
MRD-RAG
Multi-round diagnostic RAG simulating clinical reasoning; builds DiagnosGraph spanning TCM and Western medicine (876 diseases / 7,997 nodes / 37,201 triples).
TCM compound retrieval agent
AI agent-based system for retrieving TCM compound information.
LM extraction for complementary medicine
Language models for data extraction and risk-of-bias assessment in complementary medicine literature.
LLM-driven TCM KG construction
LLM-driven construction and application of a TCM knowledge graph.
中医医案问答系统
A TCM case-based QA system integrating LLMs and knowledge graphs for efficient case retrieval and analysis (Front. Med. 2025).
LLM + RAG TCM inference
Combining LLMs with RAG for TCM inference.
Weighted-voting TCM formula classification
Weighted-voting LLM approach for TCM formula classification.
TCM guideline adherence evaluation
Content-analysis evaluation of LLM adherence to clinical practice guidelines in Chinese medicine.
5-LLM TCM clinical decision comparison
Comparative study of 5 LLMs for TCM clinical decision-making.
TCM stroke LLM benchmark
Quantitative benchmark study of LLMs in the TCM stroke domain.
LLM herb–drug interaction prediction
LLM-enhanced herbal medicine–drug interaction prediction.
TCMLCM
KG2TRAG-based intelligent QA model for TCM lung cancer.
Chinese patent medicine knowledge system
Constructing a knowledge system for traditional Chinese patent medicine using LLMs and KGs.
TCMRD-KG
Innovative design of a rheumatology TCM knowledge graph from ancient literature.
TCM-Eval (WISE 2025)
Multi-dimensional TCM evaluation framework from Tianjin University, its Fuzhou joint institute, Tianjin University of Chinese Medicine and its First Teaching Hospital, and Tianjin International Engineering Institute (WISE 2025). A different work from the ZMT-M1 TCM-Eval (arXiv 2511.07148) despite the identical name.
Few-shot tongue-diagnosis in-context multitask learning
Few-shot in-context multitask fine-tuning of LLMs mapping tongue images directly to constitutions.
TCM misinformation detection evaluation
Safety evaluation framework with 3,000+ TCM exam items × 4 paradigms, covering wrong-option, misleading, and fabrication detection.
ChatGLM-FGIDs-TCM
Knowledge-fused ChatGLM clinical decision-support model for functional gastrointestinal disorders (FGIDs).
TCM-VisResolve (TCM-VR)
Qwen2.5-VL-based TCM multimodal LLM — 163-class dried-herb recognition over 220k images plus clinical MCQs with 880k candidate answers.
TCM-DS
Domain LLM for medicine–food homology dietary-therapy recommendation.
XuanHuGPT
TCM domain LLM built with parameter-efficient fine-tuning (PEFT).
Jingfang
LLM-based multi-agent TCM diagnosis/treatment system reporting large relative SDT gains under the authors' protocol.
神农Alpha
ShennongAlpha (Westlake University): an AI-driven sharing and collaboration platform for intelligent curation, acquisition and translation of natural-medicinal-material knowledge (Cell Discov. 2025).
ZhiFangDanTai
GraphRAG plus fine-tuning for TCM formula generation, including sovereign-minister-assistant-courier roles, efficacy, contraindications, and tongue and pulse signs. The authors are at Capital Normal University and the University of Queensland. The paper says the weights and dataset are open; those addresses now return 404, so there is no downloadable public release.
Baize-TCM-LLM
ICMM Baize TCM QA models on Qwen3 (0.6B/8B) with ~157k LoRA-tuning examples.
ZMT-M1
ZMT-M1 TCM LLM and the dynamic, extensible TCM-Eval benchmark platform.
BianCang
BianCang TCM LLM series (IEEE JBHI); 14B open-weight release in Dec 2025.
Qibo
TCM LLM and Qibo Benchmark from Tianjin University et al.; CPT + SFT for SDT and QA.
TianHui
Domain LLM for 12 TCM scenarios (DeepSeek-R1-Distill-Qwen-14B + PT/SFT) with open code and eval scripts. arXiv PDF authors at Chengdu University of TCM.
Tianyi
7.6-billion-parameter TCM LLM from NJUCM et al. with reading–clinic–apprenticeship training stages, TCMEval, and real-world validation (Information Fusion, February 2026).
仲景 (ZhongJing)
ZhongJingGPT is an expert-knowledge-guided TCM model. It combines domain fine-tuning with ideas from cognitive psychology and builds instructions for several TCM settings. It appeared in Tsinghua Science and Technology in July 2026.
RenShu-AI
FastAPI + LangGraph multi-agent TCM consultation system combining GraphRAG and DeepSeek-TCM.
Yaoshi-RAG
Uncertain-KG RAG for medicine–food homology dietary recommendation with personalization and explainability.
ViTCM-LLM
Qwen2.5-VL + RAG tongue multimodal clinical framework; MedTCM dataset and TDEU metric (precursor to MMIR-TCM).
TCMChat
Generative TCM LLM built via pre-training and supervised fine-tuning, released with the 600k-sample TCMChat-600k dialogue dataset (Pharmacol. Res. 2024).
TCM-R1
TCM LLM with GRPO-enhanced reasoning.
TCM-Ladder
First large multimodal TCM QA benchmark with 52,000+ items (NeurIPS 2025).
TCM-KLLaMA
KG-fused LLM for intelligent TCM formula generation. PubMed 40056842 lists Zhejiang Gongshang University and Hangzhou First People's Hospital (Westlake University School of Medicine).
TCM-BEST4SDT
Case benchmark for syndrome differentiation and treatment (knowledge / ethics / safety / SDT).
TCM-5CEval
Five-dimension deep evaluation extending TCM-3CEval with materia medica and non-drug therapies.
TCM-3CEval
Three-axis TCM LLM evaluation: core knowledge, classics comprehension, and clinical decision-making.
TCM LLM acupuncture clinical evaluation
Real-case evaluation of 7 general LLMs vs licensed acupuncturists on SDT, point selection, needling, and herbs (*npj Digital Medicine*).
ShizhenGPT
Multimodal TCM LLM supporting the four diagnoses (inspection, auscultation-olfaction, inquiry, palpation).
RAG-CPMF
Multi-LLM verification + RAG for Chinese patent medicine recommendation, with a living public CPM dataset.
OpenTCM
GraphRAG TCM retrieval and diagnosis system with a gynecology classics knowledge graph.
MTCMB
Multi-task TCM benchmark (~12 subsets, ~7.1k samples) covering knowledge, reasoning, formulas, and safety.
MCM
Multi-agent collaborative multimodal TCM diagnosis framework (IEEE ICIP 2025).
DoPI
Doctor-like proactive inquiry TCM LLM (guide + expert models); reported inquiry accuracy 84.68%. arXiv HTML authors at Tianjin University and CUHK et al.
DiagX-DT
Exclusionary syndrome-differentiation reasoning with CoT and an external TCM knowledge base.
ChatTCM
SylvanL open TCM LLM (Qwen2-7B continual pretrain then full SFT) with public data and weights. Contact email sl18n19@soton.ac.uk only; no stated affiliation or paper.
BenCao
Instruction-aligned multimodal TCM assistant (ChatGPT/GPTs Store) with tongue APIs and knowledge bases (distinct from HuaTuo/BenCao). arXiv HTML authors at University of Missouri and Shanghai University of TCM et al.
Medicinal-plant MLLM benchmark
Benchmarking multimodal LLMs for medicinal plant identification.
Large vs lightweight LLMs on TCM exams
Systematic comparison of large-scale vs lightweight LLMs on TCM exam questions.
TCM AI-tutor evaluation
Multimodal LLM evaluation for TCM education across cognitive levels.
Three-LLM TCM licensing exam evaluation
Systematic evaluation of 3 LLMs (incl. Gemini) on the national TCM medical licensing examination.
TCM intelligent pre-consultation clinical evaluation
Tertiary-hospital clinical evaluation of an LLM intelligent pre-consultation system using a physician–AI–patient triad model.
TCM Data Hub (YiYuan)
YiYuan LLM-driven TCM data platform.
TCMNet
LLM-assisted disease knowledge mining with PPI networks and binding prediction for formula optimization.
CMM-EmbedCluster
LLM + medicinal-property-theory clustering framework for Chinese materia medica, with a 567-herb property knowledge base.
KDC-NER
Knowledge-guided data augmentation + LLM fine-tuning framework for nested NER in TCM.
Jin San Zhen KG-QA
Knowledge graph + LLM QA tool for the Jin San Zhen acupuncture school.
TCMI-F-6D
Six-dimensional benchmark of interdisciplinary foundational competence in TCM informatics.
Tongue–face multimodal fusion diagnosis
Tongue–face multimodal feature fusion with LLM-driven intelligent TCM diagnosis.
TCMBenchEval
Benchmark evaluating LLMs on real clinical TCM case records (ICIC 2026).
Med-Bench-Arena
Open evaluation platform for medical and TCM LLMs/Agents (HF/vLLM/LiteLLM, multimodal, TCM-specific metrics), from the ZhongJing team.
TongueDx2
Systematic ablation of the tongue-diagnosis DL design space (20+ model variants); TongueDx2 includes 5,109 images / 976 expert annotations.
MACAT
Multi-agent culture-aware translation framework, evaluated on culture-loaded terms from TCM classics and the Analects.
DongYuan
Integrative spleen–stomach disease diagnosis LLM framework combining TCM pattern differentiation with Western diagnostic reasoning. arXiv PDF authors at Hebei Provincial Hospital of TCM and CASIA et al.
Med-Shicheng
Lightweight master-physician experience-inheritance framework built on Tianyi; a single model internalizes 5 national masters' knowledge systems across 7 task types.
HerbWise
Domain LLM for traditional herbal medicine (THM), serving herbal modernization and standardization.
QingNangTCM
Parameter-efficient fine-tuned TCM QA and clinical reasoning model; builds the 100k-item QnTCM_Dataset.
End-to-end TCM clinical support benchmark
Benchmark for end-to-end TCM clinical support across the full LLM care pipeline.
ATCMD-Bench
First agentic TCM diagnosis benchmark, evaluating LLMs through multi-agent simulated consultations.
LingLan
Large multi-task TCM benchmark: 5 domains, 13 subtasks, 25,620 expert-verified items.
Xinghe
Xinghe-TCM Neijing reasoning model on Qwen3.5-9B (QLoRA, ~2009 instructions, no-prescription safety). HF page lists no paper and no university affiliation.
TongueVLM
Multimodal VLM for TCM tongue diagnosis, description generation, and constitution reasoning. JMIR page blocked; OpenAlex lists HFUT and Anhui University of Chinese Medicine et al.
TCM-DiffRAG
Syndrome-differentiation RAG with a general KG, a personalized KG, and chain-of-thought.
TCM-Agent
LLM multi-agent system for network pharmacology and herbal discovery.
Qwen-TCM-Dia
Specialty fine-tuned model for TCM diarrhea care (CPT + CoT SFT) covering symptom→pathomechanism→method→formula chains. Digital Chinese Medicine authors at Beijing Hospital of TCM (CMU) and BUCM et al.
MMIR-TCM
Memory-augmented multimodal tongue diagnosis and clinical decision framework; proposes MedTCM dataset and TDEU metric.
GastroTCM
TCM gastroenterology LLM fine-tuned from Llama3-8B with RAG and agent scaffolding. Chinese Medicine paper from Tsinghua TCM-X and China-Japan Friendship Hospital et al.
DERM-3R
Resource-constrained multimodal multi-agent framework for TCM dermatology (recognition / representation / SDT agents).
CORE-Acu
Acupuncture clinical decision support with structured reasoning traces and a knowledge-graph safety veto loop.
No matching resources.
Full index (880 entries)
- 南京中医药大学发布灵素·艾护中医护理大模型
- 上海中医药大学与龙华医院方证大模型正式开放接入
- 北京中医药大学在服贸会首发展示中医体质辨识体系与具身智能推拿机器人
- 广医·岐智大模型2.0亮相2026服贸会，落地AI医生安安与六大医院场景
- 广州中医药大学杏林智慧教学大模型进入课程试点
- 贵州中医药大学第一附属医院发布黔小杏医疗大模型
- 基于生成式模拟医案构建的定制化中医处方推荐大模型
- 一种面向中医药知识图谱的综合质量评估方法
- TCM dialogue generation with a large language model and long-term memory
- 从大语言模型到智能体（兰州大学学报医学版综述）
- 河南省人工智能大会集中发布中药研发大模型等五项中试成果
- 一种融合时空特征的针灸推理模型构建方法、系统及设备
- 基于知识图谱与大语言模型的脾胃学派理法方药分析系统
- 一种基于大语言模型的中医古籍症状标准化处理方法
- Digital inheritance and analysis of Zhang Xichun's theory, method, formula, and herbs
- Beyond the Poetic Bard（中医AI翻译评论）
- Hybrid Retrieval + Re-ranking TCM Prescription Generation
- TCM-RobustSDT
- Agentic and Knowledge-Grounded LLMs in TCM（预注册）
- Patient-Conditioned Dual Hypergraph Reasoning
- 智慧眼砭石多模态中医大模型亮相WAIC 2026
- 安顿七诊合参中医机器人亮相WAIC 2026
- 贵州医大等发布华族本草民族药AI大模型
- 上海市第七人民医院发布岐元中医大模型，支持名老中医Agent数字孪生
- 一种面向中医方剂推荐的知识图谱大模型问答方法及系统
- 基于大语言模型的中医智能问诊方法及系统
- 基于多模态中医大语言模型的数据分析方法、系统、终端及介质
- 辅助诊断结果和参考处方生成方法、装置、介质及计算机设备
- 中医大模型关键技术综述（IJPRAI）
- DeepTCM1.0
- DeepRoot
- Evidence-Based TCM Visualization Diagnosis System
- 中科闻歌通过港交所上市聆讯；与中国中医科学院合作的大医金匮中医大模型已通过中国信通院最高级别可信AI认证
- 一种基于图注意力网络与大语言模型的中药处方生成方法
- 基于多模态大模型的中医舌诊药饮推荐方法
- 薪火中国药亮相2026世界数字教育大会，问答版上线国家智慧教育平台
- Causal contrastive learning and LLM graph attention for TCM prescription recommendation
- Multi-task joint optimization for TCM prescription generation
- LLM-based intelligent acupuncture diagnosis agent
- TCM diagnosis-and-treatment platform combining an LLM with dual-channel retrieval
- RAG+LoRA 中医执照考试推理架构
- AI驱动中医诊断智能化综述（JTCMS）
- Pediatric influenza Chinese patent-medicine recommender (KG + LLM)
- HSQ-TD（健身气功指令微调数据集）
- Pathogenesis-reasoning CoT supervision for spleen-stomach disorders
- GAT+LLM TCM Prescription Generation
- TCMIIES
- Knowledge-graph and LLM system for TCM syndrome-differentiation QA
- 山东启动智汇岐黄中医药大模型重点场景项目
- 北京中医药大学牵头研发的薪火中国药中医药教育大模型通过国家生成式人工智能服务备案
- 一种基于视觉语言模型的中医舌诊智能分析方法
- 人工智能+名老中医专家经验数字化传承工作研讨会召开
- 中医方证多模态大模型与方证智云入选国家人工智能应用中试基地阶段成果
- Structured evidence-subgraph RAG for TCM herb recommendation
- Knowledge-enhanced generation of TCM case commentaries
- 一种心血管疾病的基于针灸诊疗知识图谱的智能问答系统
- 一种基于人工智能的方剂配制方法、系统、介质和设备
- 一种基于动态语义分块、知识图谱与多跳路径规划的中医大语言模型AI题库智能生成方法及系统
- 一种基于中医语言大模型的中医智能分析方法及系统
- Knowledge-distillation and RL for oncology TCM prescription recommendation
- 八部门印发中药工业高质量发展实施方案提出AI与知识图谱赋能
- 广东省中医院启动名老中医辅助诊疗大模型矩阵
- 河南健康产业大会展示神农本草大模型与中医经络辅助诊断模型
- 一种融合舌象、心率及文本的多模态健康状态评估方法
- 喜讯！我校“中医药AI模型高质量数据集”项目入选国家人工智能医疗器械揭榜挂帅名单
- 基于大语言模型的经络辨证与针灸方案生成方法及系统
- 中医聪宝素问中医内容生成大模型算法通过深度合成备案
- Multimodal knowledge-graph construction from TCM texts and records
- 人工智能驱动下的中医智能诊疗研究进展与挑战
- 一种基于大语言模型的人-信息-物理三元数据融合中药制造知识图谱构建系统、电子设备及存储介质
- 基于检索增强生成的针灸大模型构建方法、系统及装置
- 一种基于多模态大语言模型的中医临床辅助决策系统和方法
- 广安门医院「广医·岐智」完成国家级深度合成算法备案
- Knowledge-graph recommendation of classic TCM formulas
- 智明堂ZMT-M1在国家中医执业医师资格考试模拟测试中以96.26分获得该领域最佳成绩
- 固生堂发布“中医大脑”及国医大师施杞教授AI数字分身，已累计发布14位顶级专家数字分身
- 吉林发布众星·长白岐黄1.0 AI原生多模态中医药大模型
- 大小模型协同中药方剂优化方法、系统、终端及存储介质
- 学校与郑州市卫健委、郑州市中医院、河南中医药大学数智中医药研究院联合发布“岐黄针灸”大模型
- 融合动态知识图谱的针灸大模型辨证方法及调理优化系统
- 国家卫健委等五部门印发《关于促进和规范”人工智能+医疗卫生”应用发展的实施意见》
- 基于大语言模型的中医五音疗疾个性化音乐生成系统及其构建方法
- 安贞医院与中国电子云发布中西医结合高血压大模型Idiom-Hypertension
- 天津中医药大学等发布中医药临床研究智能体CTA
- 针灸穴位推荐方法及其模型获取方法、装置、设备及介质
- 2025服贸会｜中国中医科学院精彩亮相2025服贸会
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- 伊尹中医经典大模型在河南嵩县启用
- 智赋岐黄天功中医AI大模型通过国家深度合成服务算法备案，应用于中医四诊仪与体质辨识
- 传神素问中医大模型通过中国信通院可信AI中医药大模型4+级评估
- 中医AI大模型问世，传神与湖北中医药大学、湖北时珍实验室合作
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- 固生堂正式发布十大“国医AI分身”，专家模拟一致性达86%以上
- 一种基于大模型的中药分类方法
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- 广安门医院成立广医·岐智大模型智能体联盟
- 数据标注优秀案例集之四十六｜AI数据标注助力中医药领域高质量发展
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- 基于大语言模型的中药药物警戒问答系统的构建方法
- 基于胸肺科中医问诊报告大语言模型的中医方剂推荐方法和系统
- 一种基于大模型的心血管疾病医疗决策支持方法
- Knowledge-graph and case-enhanced RAG for intelligent TCM inquiry
- AI-LLM method and system for intelligent TCM inquiry
- Multimodal knowledge-graph and LLM system for TCM rehabilitation diagnosis
- 中医横琴垂类大模型正式发布
- 中医药多模态LLM训练方法及其应用
- 国内首个中药学科生成式人工智能教育专用大模型“薪火中国药”智思体1.0版正式发布
- 中国中医科学院发布中医药大模型评测标准
- 基于多源特征融合的中医方剂智能推荐方法、介质和设备
- 九为健康联合华为云发布神农中医大模型智能体，解码如何用大模型重构“望闻问切”
- 一种基于OCR识别和大模型的中药方数据解析方法及装置
- 应用大语言模型的泌尿科中医问诊结果预测方法和系统
- LLM-based Chinese-medicine prescription recommendation with soft prompts
- 传神语联发布任度·素问中医大模型，基于全自研混合熵(moH)技术架构，支持智能问诊、辨证分析、方剂推荐
- 合肥云诊信息科技有限公司重磅发布中医药领域大模型——“云诊华医大模型”
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- 一种基于大语言模型的中医问答系统及方法
- 一种基于大语言模型的中医知识图谱生成方法及系统
- LLM method for learning famous-physician TCM formulas
- 学校与河南中医药大学联合发布“中医药大模型”
- 一种用于智能中医系统的大语言模型的构建方法
- 利用AI大模型进行舌象分析的方法及装置
- LLM and knowledge-graph method for TCM formula compatibility
- LLM-based Chinese-materia-medica question answering
- 招联联合中山大学与广中医深圳医院发布仲思中医大模型
- 一种基于多模态大模型的中医舌诊分析系统及方法
- 基于AI大模型智能人体域网的中医六经辨证智能对话健康管理系统
- 基于AI大模型的中医元气充盈智能健康管理系统
- 华东师范大学联合发布数智岐黄2.0
- Building a TCM QA system from a large language model and a knowledge graph
- 中科闻歌发布大医金匮中医大模型及中医智能健康管理平台，基于1500余本中医典籍及海量临床医案训练
- 一种基于大语言模型的中医知识深度挖掘方法
- 一种基于计算视觉与大语言模型辅助中医诊疗的系统
- Long-document retrieval-augmented generation for TCM question answering
- AI-large-model system for intelligent TCM prescription recommendation
- 一种基于大语言模型的针灸辅助诊疗和模型评价的方法
- 一种基于大语言模型的中医客服回复系统
- 天士力与华为发布数智本草中医药语言与计算双模态大模型
- 以大语言模型为先验的智能中医系统
- 一种基于大语言模型的中医知识图谱构建方法
- 大经中医发布岐黄问道中医大模型
- 融合证素知识的中医证候术语映射
- WHO 西太区传统医学术语
- TCMDATA
- 中医体质 Qwen3-8B 量化权重
- Qwen3.5-9B 中医继续预训练
- TCM-Qwen2.5-7B-SFT
- 肺磨玻璃结节的中医症状风险模型
- 乳腺癌中医证型的神经网络区分
- 儿童多动症推拿的特征选择
- 痛经辨证的机器学习模型
- 多囊卵巢证型的多标签预测
- 上海 2 型糖尿病问诊证候识别
- 冠心病问诊的多标签学习
- 用声学特征辨体质
- 小波包分形维的闻诊
- 可控 Transformer 面诊
- 唇色的中医望诊分类
- 中医临床命名实体与关系联合识别
- 中西药相互作用专论库
- 方剂推荐中的剂量预测
- 复方煎煮时长分类
- 中药复方剂量调整方法
- 基于知识图谱的中成药处方监测
- 人工智能中医辅助诊断系统验证
- 远程监督的中医跨度实体抽取
- 中医命名实体识别的知识蒸馏
- 中医病历嵌套实体识别
- 胰腺癌病历的证型识别
- 强化学习的可解释中医处方推荐
- MSAT：中药物不良反应预测
- 中药不良反应信号的决策树分类
- 湖北中药注射剂自发报告
- 喜炎平联用药物与疑似过敏
- 喜炎平严重不良事件的投影重要性
- 附子毒性成分指数
- 吴鞠通温病技能
- WHO 中医药国际标准术语
- 中医体质量表计分代码
- 经方按症状排序（平人）
- 五部伤寒书知识图谱
- Tao-Shanghan-Corpus
- pro_TCMLLM
- tcm-cli
- PharmMapper
- 中医世家
- NPASS
- TCM-Suite
- 神经网络判别经方方名
- GPT-4 作答台湾中医师执照考试
- 评估药物–草药相互作用的人工智能工具
- 肿瘤治疗中的草药–化学药相互作用
- SiPA：同时预测中药相互作用
- 中药心脏不良反应的文献计量与关联规则
- 胸痹处方中的十八反关联规则
- 基于结构相似的中药心血管毒性预测软件
- 质谱机器学习预测中药毒性
- 图注意力网络预测中药相互作用
- 配伍禁忌药对的监督学习框架
- AN-IHP：注意力网络预测配伍禁忌药对
- 脉波与语音联合筛查冠心病和心衰
- 中风患者韩医四诊的观察者一致性
- 九层卷积网络的腕部脉象分类
- 多通道桡动脉信号的脉象识别
- 空腹过程的寸关尺脉图定量
- 冠心病、其他心血管病与健康人的脉象参数
- 视频面部特征的中医望神分类
- 均匀色空间的中医面色识别
- 面色与体型的中医体质图像辨识
- 用面部几何特征区分四象体质
- 面像、体型、声音和问卷融合的四象体质辨识
- 中药肝损伤不良反应的风险信号
- TCM-TBOSD 辨证论治评测
- 古代经典名方关键信息表
- 异构网络预测中药毒性
- 中药处方剂量分配的模糊分析
- 妊娠禁忌中药概述
- 含反药的附子处方关联规则
- IHPreten：配伍禁忌药对预测
- UniTCM
- 台湾草药不良反应报告系统（1998–2016）
- TCMM 中药现代化统一数据库
- SYD_NK 内科证候测试集
- 治法–处方与药材剂量表
- 中药化学成分毒性实验库
- 红外热像面部穴位两级定位
- GNN-BERT 的症状–穴位推荐
- TCM-BERT-CNN 整体证候分类
- TCMKD 中医药知识发现平台
- 知识图谱增强的长尾证候辨证
- 《温热经纬》与《伤寒论》方剂网络
- 《伤寒论》的复杂网络模型
- 模仿肺癌中医辨证的端到端模型
- 温病文献的 BERT 命名实体识别
- 用自然语言处理挖掘《伤寒论》
- 《伤寒论》异构图与图卷积表示
- 国际疾病分类与传统医学数据缺口
- 中医证候诊断标准适用性评价指南
- STC-NF：中医症状术语两段式规范化
- PIPE-11：落地 ICD-11 传统医学章的临床决策支持
- 对 ICD-11 第26章传统医学条目的增补建议
- ICD-10 疾病与汉方寒热虚实的对应
- GB/T 12346-2021 经穴名称与定位解读
- GB/T 31774 与 ISO 18668 中药编码对照
- 胸痹/冠心病的中西医数据治理
- 计算机辅助穴位定位系统综述
- 深度学习穴位定位综述
- 东亚传统医学如何进入国际卫生信息标准
- 中药异构网络结构集
- MetaAcuPoint
- TCMToxDB
- 自适应神经模糊推理的中医睡眠障碍诊断
- 高血压患者的寸口脉与脉搏波
- Wasserstein GAN 扩充腕部脉象
- 高血压的中医面色分类
- 汉方问诊虚拟病人
- 按中医问诊思路做的证候辨证
- 多模态中医体质端到端评估
- 深度强化学习的序贯中药治疗规划
- 白睛异常分割（HD-DinoMoE）
- 用伽马密度拟合中医脉图
- 舌、面与舌下融合识别糖尿病
- 由多尺度面容生成中药处方
- 《伤寒论》问题意图分类（TinyBERT-CNN）
- 《伤寒论》知识图谱
- ICD-11 传统医学章与 SNOMED CT 的本体对照
- 中医症状的细粒度实体与关系抽取
- 中医病历症状规范化的自动方法
- 中医病历症状名自动规范化
- 健康成人韩医诊察数据集
- 中医药中英术语数据集
- 针灸临床实践指南数据集
- TCMCPD
- 赵汉青门诊处方（2025）
- 糖尿病证候的多实例多任务卷积网络
- 用《伤寒论》检验八纲表里辨证
- 可解释框架量化中医症状–方药对应
- 可解释图神经网络量化中药配伍
- Jiezhai Gong 妇产科医案知识图谱
- 计算机视觉的中医面色识别
- 中医面色的定性与定量分析
- 彩色人脸特征的中医体质分类
- 模糊支持向量机的中医面色识别
- 统计特征与 MobileViT 的中医面色分类
- 脉搏压力波与妊娠的机器学习对应
- 深度卷积网络分析腕部脉波
- 希尔伯特–黄变换与随机森林的冠心病脉象识别
- 桡动脉脉搏波的高血压机器学习分类
- 桡动脉脉搏波识别多囊卵巢综合征
- 基于中医脉诊矩阵的客观脉象分析
- TPC-GCN：中医脉象分类
- 脉诊机器学习识别妊娠与冠心病
- TCM4NSCLC
- 中医为何需要可解释人工智能
- 面向临床的中西药联用安全性数智评价
- 中药计算毒性研究小综述
- 中药安全性研究：方法、应用与展望
- BioBERT-HDI：草药与化学药相互作用预测
- 中药化合物的多监管安全评价机器学习框架
- KeMRE：中药说明书的知识增强关系抽取
- 从文献为抗抑郁药不良反应寻找中药替代
- ANDERATION：反社区发现用于中药配伍禁忌
- 方剂网络中的十八反与十九畏
- 中医脉诊重测信度与评分者一致性
- 舌、声、脉联合的中医体质辨识
- 面向糖尿病的中医脉诊卷积神经网络
- 智能脉诊：信号处理与深度学习
- 仿生设备采集中医脉象的规程
- 穴位皮肤阻抗的手机脉诊
- hwtcm-deepseek-r1-distill-data
- hwtcm-sft-v1
- TCM-QM
- 医宗金鉴知识三元组
- TongueAtlas-4K
- VTM-TDA Benchmark
- Knowledge of Chatbots on Oriental Medicine-Based Theory and Practice of Acupuncture Is Inferior to That on Western Medicine-Based Acupuncture-Transmitted Infections
- Generating interpretable clinical reasoning chains in TCM via group relative policy optimization and multi-dimensional rewards
- Chinese Medicine Question Answering Robot Based on RAG and Self-Built Dataset
- A TCM Syndrome Differentiation Thinking Method Based on Chain of Thought and Knowledge Retrieval Augmentation
- VietMedKG
- TCMDI
- 六经辨证数据集
- TreeProbe
- 四模型中文医学文献标引测试集
- 病机思维链证候识别数据
- 中医药知识问答实验数据
- TCM-MS2Link
- 病理标注舌象数据集
- 中药扰动转录组图谱
- 胆石症中医证候代谢组
- TCMP-300
- 传统方剂—疾病关系标注语料
- AcuSim
- Artificial Intelligence in Traditional Chinese Medicine: Multimodal Fusion and Machine Learning for Enhanced Diagnosis and Treatment Efficacy
- Korean Medical Consultation With Open-Weight Large Language Models: Pilot Comparative Evaluation of Retrieval-Augmented Generation With Metadata Filtering
- AI Tongue Diagnosis: Expert System with LLMs for Abdominal Disease Detection Through Mobile App
- MLLM-Enhanced Region-Aware Bidirectional Evidence-Based Model for Tongue Diagnosis
- Fine-Med-Mental-T&P: a dual-track approach for high-quality instructional datasets of mental disorders in traditional Chinese medicine
- Two-Stage Chain-of-Thought Fine-Tuning for TCM Medication Decision-Making in Nsclc
- TCMKG: Knowledge-Grounded question answering in Traditional Chinese Medicine via dynamic prompt evolution framework
- Pilot Development of a 'Clinical Performance Examination (CPX) Practicing Chatbot' Utilizing Prompt Engineering
- AI-driven multi-scale target analysis of traditional Chinese medicine: From the pharmacological effects of single compounds to the synergistic mechanisms of formulae
- Utilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study
- XiangShu Omics: A Framework Based on the Spatio–Temporal Field Rhythms of Human Life and Systems Intelligence Methodology
- From Empirical Wisdom to Computational Intelligence: A Knowledge-Data Dual-Driven Paradigm for Modernizing Traditional Chinese Medicine
- Domestic and International Research Trends in Artificial Intelligence Applications in Korean Medicine: An Analysis from 2019 to 2025
- Artificial intelligence: A catalyst for the modernization of traditional Chinese medicine
- Artificial Intelligence in Traditional Chinese Medicine: Bridging Ancient Practice and Future Innovation
- Conveying Imagistic Thinking in Traditional Chinese Medicine Translation: A Prompt Engineering and LLM-Based Evaluation Framework
- TCMRD-KG: Design and Development of a Rheumatism Knowledge Graph Based on Ancient Chinese Literature
- From readable to executable
- Performance Assessment of ChatGPT-4.0 and ChatGLM Series in Traditional Chinese Medicine for Metabolic Associated Fatty Liver Disease: Comparative Study
- Construction of a Knowledge Graph for Functional Specification Standards of Traditional Chinese Medicine Information Systems Based on Large Language Models
- Multimodal TCM Seven-Emotion Recognition: A Three-Modality Joint Consultation Framework Based on LLMs and Cross-Attention Fusion
- LLM-Driven Unsupervised Discovery of Semantic Decision Dimensions for Dynamic Scheduling and Intelligent Systems: A Traditional Chinese Medicine Case Study
- Smart Virtual Patients for TCM: Combining Knowledge Graphs and Language Models
- An Intelligent TCM Diagnosis System with Localized LLMs and Modular Multimodal Reasoning Enhanced by RAG
- Large language models vs traditional Chinese medicine clinical reasoning: Analysis of a single migraine case study
- Method for Constructing TCM Syndrome Differentiation Q&A System with LLM-RAG
- A knowledge-enhanced prescription generation model for TCM syndrome differentiation via multilevel memory retrieval
- Contemporary technological value of ancient Chinese medical books: an empirical patent citation analysis using large language models
- Research on the Organization and Application of Traditional Chinese Medicine Processing Knowledge in Lingnan Herbal Medicine Ancient Texts by Integrating Large Models and Knowledge Graph Technology
- Knowledge-guided adaptive educational support for traditional Chinese medicine using large language models and knowledge graphs: integrating Confucian educational principles
- Evaluating Semantic Fidelity and Cohesion in NMT and LLM-based Translation of Traditional Chinese Medicine Classics
- Research on the Construction of a Traditional Chinese Medicine Coronary Heart Disease Question-Answering System Integrating Large Language Models and Knowledge Graphs
- A Study of Automated Data Mining of Medication Rules in Traditional Chinese Medicine Prescriptions Based on Large Language Model
- Large Language Models Versus Physicians in Traditional Chinese Medicine: A Real-World Clinical Case Evaluation
- Prompt-RAG: Pioneering Vector Embedding-Free Retrieval-Augmented Generation in Niche Domains, Exemplified by Korean Medicine
- Reunderstanding of the Classification of Syndromes in the Traditional Chinese Medicine Classic “Shang Han Lun” Based on Large Language Models
- Named Entity Recognition in Traditional Chinese medicine Literature Data for Obesity Based on Large Language Models
- Dynamic Disease Tracking and Personalized Prescription Recommendation Using Large Language Model in Traditional Chinese Medicine
- IC-BERT: An Instruction Classifier Model Alleviates the Hallucination of Large Language Models in Traditional Chinese Medicine
- Supporting postgraduate exam preparation with large language models: implications for traditional Chinese medicine education
- A Study on An Intelligent Diagnosis and Treatment Assistant System For Acupuncture in Diminished Ovarian Reserve Based on A Knowledge Graph
- Knowledge Graphs Combined with ChatGPT in the Field of Acupuncture: A Case Study on the Treatment of Depression
- Development of an LLM-based CPX Practicing Chatbot for Korean Medicine Education: Implementation of Automated Scoring and Feedback Generation Framework
- Evaluating Large Language Models for Query Refinement in Systematic Review Retrieval of Traditional Chinese Medicine
- Baize TCM Botanical Origin Images
- HerbPairIAM
- CHM-315
- TCMEFO
- TCM Medical Case Commentary Generation
- TCM Knowledge Q&A
- TongueBench
- Chinese Herbal Efficacy Relations
- TCM Term Prompt-Language Responses
- WHO TCM Terminology LLM Evaluation Set
- TCM Disease-Pattern-Symptom-Herb KG v2
- Cross-linguistic TCM Formula Names
- TCM Humanities MCQ
- tw-tcm
- TCM_19W_DataSet-SFT (part)
- TongueProjectTCM Color Classification
- Chinese Drug Name Overreliance Set
- CMMLU Traditional Chinese Medicine
- JTB Taiwan TCM Exam Questions
- Taiwan TCM Examination MCQ
- 2023 Pharmacist Licensure Examination TCM Track
- TCMLE
- Famous Old TCM Doctors Cases
- tc_medical_base
- TriCM-DF Acupuncture Corpus
- Gancao-TCM-Instruct
- AcuKG
- KampoBench
- TCMClinicalReason-Bench
- TCMQA
- 辨证论治基准数据集
- LingLan多模态辨证大模型
- 证伪导向的可审计辨证协议
- TCMScience
- 理法方药对齐的中医处方生成
- TCMClinicalReason-Bench
- TCMQA
- 动态知识图谱与大模型的中医生理建模
- TCMHP
- 基于Llama3的中医大模型
- 中医药专利关系抽取
- 多阶段学习的中医处方推荐大模型
- 中医问诊中的大模型与知识图谱
- 中医药知识图谱问答系统
- 面向辨证的大模型微调
- 中医大模型指令微调
- ChatGPT、DeepSeek与医师针灸方案对照
- 针灸临床决策中的大模型补偿机制
- 名老中医针灸医案知识图谱
- 用大模型构建中医舌诊本体
- DMease
- 医学知识增强的双层对齐中药处方推荐
- 知识图谱增强的中医问答大模型
- 大模型连接中医知识与临床实践
- 辨证论治大模型基准数据集
- 韩医CPX场景自动生成
- KampoBench
- AcuKG
- LLM-SDaT
- AcuGPT-Agent
- TCM-HyperRAG
- TCM-CoT-RAG
- TEmbed-DDI：中西药相互作用标注
- 用大模型理解中医：机制探索与创新应用
- 中医场景中医疗大模型的提示词效应
- 灵丹 JAMIA：面向临床推理的中医知识编码
- 中医大模型临床实践评测方法
- 2026: 中医智能诊断的跨学科融合与发展趋势
- 2026: 面向中医药证据知情决策的数字智能循证
- 2026: 数字化与智能化时代的中医药机遇与挑战
- Dong et al. 2026: 中医处方推荐计算方法综述
- Wang et al. 2026: 重思中医大模型评测
- Sun et al. 2026: 生成模型在中医药中的进展与应用
- Liu et al. 2025: 网络药理学推动大模型用于中医药研究
- Yin et al. 2025: 数据挖掘、大模型与多模态融合的中医AI综述
- TongueDx
- PresRecRF
- KDHR
- 知识引导的中医荐药（FITEE）
- MGCN
- SMGCN
- 基于雅意大模型的中医智能预问诊
- 循证中医指南 PICO 知识图谱问答
- 基于大语言模型与文本嵌入计算的中医证素辨证自动化方法
- MMKGQA（海洋中药知识图谱问答）
- 阿尔茨海默病指南知识库问答（ChatGLM3）
- 轻量化中医药古籍大语言模型（LoRA）
- 监督微调结合检索增强的中医知识问答
- 知识蒸馏中医辨证论治模型
- 杏林-NER (XingLin-NER)
- TCM Classic-Translator（中医古籍今译）
- KG-IMHRE（赵炳南流派可解释多跳检索增强问答）
- 内蒙古自治区民族药目录
- 傣药基原植物数据库
- Sowa Rigpa Materia Medica Dataset
- 藏药材资源数据库
- KMCRIC
- 韩医药素材银行药材目录 (KMMB)
- KTKP Traditional Medicine
- ETHMEDmmm
- EKAT
- 药用植物综合信息数据库 (MPDB)
- KampoDB
- TradMPD
- 中药方剂图像数据库
- 中药材图像数据库
- TCMSSD
- TCMPG 2.0
- 本草典开放数据
- SoFDA
- GB/T 16751.3-2023
- GB/T 16751.2-2021
- GB/T 16751.1-2023
- GB/T 15657-2021
- GB/T 12346-2021
- WHO西太区标准穴位定位
- ICD-11传统医学章节
- 国家中医药古籍数字图书馆
- 中华医典
- 国医典藏
- 中医药知识服务平台
- 古今医案云平台
- 中医横琴 (Hengqin-R1)
- 张仲景中医药大模型
- 智赋岐黄天功
- 岐黄问道
- 固生堂中医大脑
- 伊尹中医经典大模型
- 众星·长白岐黄
- 砭石云中医
- 华族本草
- 岐元
- 薪火中国药
- 仲思
- 大医金匮
- 任度·素问
- 天河·灵枢
- 数智本草
- 数智岐黄
- 广医·岐智
- Cong H et al. 中医古籍知识挖掘范围综述（OSF 预注册）
- Cai R et al. 中医辨证分类范围综述（OSF 预注册）
- AI in TCM: multimodal data to pharmacology and clinical decision（PRMCM 综述）
- TCMBank
- ETCM v2.0
- ETCM
- TCMSP
- TCMID
- Data-driven based four examinations in TCM: a survey
- Research and application of tongue and face diagnosis based on deep learning
- Deep Learning Multi-label Tongue Image Analysis and Its Application in a Population Underg
- Automatic Construction of Chinese Herbal Prescriptions From Tongue Images Using CNNs and A
- Artificial intelligence in tongue diagnosis: Using deep convolutional neural network for r
- Constitution Identification of Tongue Image Based on CNN
- Tooth-Marked Tongue Recognition Using Multiple Instance Learning and CNN Features
- Ensemble Learning-Based Pulse Signal Recognition: Classification Model Development Study
- Diagnostic Method of Diabetes Based on Support Vector Machine and Tongue Images
- Pulse Waveform Classification Using Support Vector Machine with Gaussian Time Warp Edit Di
- Automated Tongue Feature Extraction for ZHENG Classification in Traditional Chinese Medici
- Classification of Pulse Waveforms Using Edit Distance with Real Penalty
- Feature extraction and recognition of traditional Chinese medicine pulse based on hemodyna
- A Novel Computerized Method Based on Support Vector Machine for Tongue Diagnosis
- An ontological framework for the formalization, organization and usage of TCM-Knowledge
- Text mining for traditional Chinese medical knowledge discovery: a survey
- Development of traditional Chinese medicine clinical data warehouse for medical knowledge
- Building Clinical Data Warehouse for Traditional Chinese Medicine Knowledge Discovery
- Information retrieval and knowledge discovery on the semantic web of traditional Chinese m
- Knowledge discovery in traditional Chinese medicine: State of the art and perspectives
- Ontology development for unified traditional Chinese medical language system
- Historical Analysis of Medical Artificial Intelligence Development in China: Research Cent
- Syndrome Differentiation in Intelligent TCM Diagnosis System
- Traditional Chinese medical diagnosis based on fuzzy and certainty reasoning
- Establishment of a fuzzy mathematical model for syndrome differentiation of gastric cancer
- Fuzzy match and floating threshold strategy for expert system in traditional Chinese medicine
- Guan Youbo liver-disease diagnosis and treatment program
- An artificial intelligence program to advise physicians regarding antimicrobial therapy
- Mathematical modeling of Chinese medicine by complex-valued five-agent network
- Discovering golden ratio in the world’s first five-agent network in ancient China
- A disturbance rejection framework for the study of traditional Chinese medicine
- Equilibrium and nonequilibrium modeling of YinYang WuXing for diagnostic decision support
- YinYang bipolar logic and bipolar fuzzy logic
- A computer model of the “five elements” theory of traditional Chinese medicine
- Functional structure model of human body and Yinyang-Wuxing equations
- GPT vs ERNIE 中医文化背景对比研究
- Tree-organized self-reflective retrieval for TCM QA
- RACE-Align
- 仲景（CMtMedQA 线，Yang et al.）
- LLM-Based Multi-Agent Systems for Clinical Workflows（ACL 2026，邻近）
- 医学大语言模型的研发与应用系统综述（智能系统学报，邻近）
- 医疗领域的大型语言模型综述（智能系统学报，邻近）
- Intelligent Question-Answering Systems in Healthcare（Healthcare，邻近）
- 人工智能实现中医四诊的发展现状、问题及解决路径（中华中医药学刊）
- 人工智能赋能中医数字化诊断：现状与挑战（中华中医药学刊）
- AI for Spleen-Stomach Disorders in TCM（Curr Med Sci）
- AI and Big Data in TCM Standardization and Internationalization（Chin Med Cult）
- AI empowers the innovation of TCM（J Integr Med 评论）
- 古籍知识图谱×多智能体融合综述（Chin Med）
- The integration of machine learning into TCM（J Pharm Anal）
- Deep learning in TCM（J Integr Med）
- AI in TCM: Unraveling Herbal Medicine's Mechanisms（Research）
- 多模态大模型驱动舌脉面诊智能化综述（Springer 书章）
- OASIS (KIOM)
- Korean Medicine Embedding Dataset
- KNApSAcK KAMPO
- webMedQA
- IMCS-21
- CBLUE
- CMeKG
- MedDialog
- cMedQA2
- cMedQA
- ChiMed (Qilin)
- DISC-Med-SFT
- PromptCBLUE
- Huatuo-26M
- CMExam
- CMB
- TM-MC
- CVDHD
- TCMGeneDIT
- TCM-Mesh
- TCMAnalyzer
- SuperTCM
- CMAUP
- DCABM-TCM
- ITCM
- TCMBank
- YaTCM
- CEMTDD
- TCMIO
- LTM-TCM
- HIT 2.0
- TCM Database@Taiwan
- BATMAN-TCM 2.0
- SymMap 2.0
- HERB 2.0
- ETCM 2.0
- TCM-ID
- TCMID 2.0
- TCMSP
- 白泽 (Baize)
- medchatzh
- ZhongJing
- TCMChat
- ShizhenGPT
- ShenNong-TCM-LLM
- Lingdan
- ChatTCM-7B-SFT
- ChatTCM
- BianCang
- 杏核 (Xinghe)
- TCM-QG
- TCM-PD
- TCM-Lung
- TCM-SD
- TCM-NER
- TCM_KG
- TCM-MKG
- LingShu（灵枢知识图谱）
- OpenTCM-KG
- TCMNSCLC
- ChP-TCM
- Traditional-Chinese-Medicine-Dataset-SFT
- TCMChat-dataset-600k
- TCM-Instruction-Tuning-ShizhenGPT
- ShenNong_TCM_Dataset
- MedChatZH
- ChatMed_Consult_Dataset
- CMtMedQA
- Baize-TCM-Corpus-V3
- neijing-sft-v1.2
- TCM-Text-Exams
- Medical-LLMs-Chinese-Exam
- ZhongJing-OMNI
- TCMEval-SDT
- TCMBench
- TCM-Vision-Benchmark
- TCM-Tongue
- TCM-Ladder
- TCM-Eval
- TCM-BEST4SDT
- TCM-5CEval
- TCM-3CEval
- MTCMB
- HWTCMBench
- TCMEval-PA
- TCM-AQA61
- LingLan
- ChiMed 2.0
- classical-tcm-canon
- Traditional-Chinese-Medicine-Dataset-Pretrain
- TCM-Pretrain-Data-ShizhenGPT
- TCM-Ancient-Books
- awesome_Chinese_medical_NLP
- CPM中成药数据集
- Lukman et al. 2007: 中医计算方法综述
- Gu & Chen 2013: 生物信息学遇见中医
- Zhao et al. 2015: 中医患者分类进展（ML 视角）
- Chu et al. 2020: 中医定量知识表示模型综述
- Zhang et al. 2021: 计算中医诊断文献综述
- Tian et al. 2024: 四诊机器学习综述
- Qu et al. 2024: 中医知识图谱综述
- Song et al. 2024: AI 辅助中医辨证关键问题与技术挑战
- Su et al. 2024 — Review of AI in TCM diagnosis and treatment (Chinese)
- Li et al. 2024: Research progress and application prospects of large language models in TCM
- Yip et al. 2025: 中西医结合 LLM 进展与挑战
- Wang et al. 2025: AI 驱动中医诊断模型进展
- Meng et al. 2025: 大模型+虚拟细胞助力中医变革
- Zhang et al. 2025: 中医 LLM 短综述与展望
- Shataer et al. 2025: LLM 在中医应用（State-of-the-Art Review）
- Guo et al. 2025: GPT 能否加速中医智能诊疗（综述+实证）
- Chen et al. 2025: 中医大语言模型系统综述
- Ren et al. 2025: 中医大语言模型（Scoping Review）
- Lu et al. 2026: 深度学习中医诊断方法学质量审计
- Wu et al. 2026: AI 在中药材中的应用综述
- Guo et al. 2026: AI 与多模态数据融合推动中医现代化
- Chen et al. 2026: LLM 在中医的下一步（叙述性综述）
- Xu et al. 2026: 基于 LLM 的中医智能问答系统综述
- Yao et al. 2026: LLM 与循证中医整合（Scoping Review）
- Han et al. 2026: LLM 在中医中的调优与临床应用（Scoping Review）
- 中医症状名识别
- 中医临床细粒度 NER 语料
- TCMPR 子网术语映射处方推荐
- 中医期刊关系抽取 (Wang & Poon 2016)
- 语义中医方剂知识图谱 (Miao et al. 2018)
- 中医养生知识图谱 (Yu et al. 2017)
- TCMKG
- 乙肝中医 KG 问答系统
- 中医新冠文献 LLM 命名实体识别
- PreGenerator
- 草药智能配送聊天机器人
- LLM+GNN 中医处方推荐
- 中医方剂 LLM 分类
- 中医疫病防治问答模型
- ChatGPT 针灸教育研究
- 大模型融合知识图谱问答系统
- 黄帝 (HuangDi)
- 女娲 (Nüwa / TCM-Nvwa)
- 神农大模型 (ShenNong-TCM-LLM)
- KM-Agent
- KAMPO LLM
- Ant Afu
- PanGu Drug Model
- Tencent Hunyuan Medical
- iFlytek Spark Medical
- ClinicalGPT
- ChatGLM-Med
- IvyGPT
- BianQue-2
- CareGPT
- SoulChat
- MedicalGPT
- DoctorGLM
- Apollo
- ChiMed-GPT
- Qilin-Med
- Taiyi-2
- Taiyi
- WiNGPT3
- WiNGPT2
- PULSE
- DISC-MedLLM
- HuatuoGPT-Vision
- HuatuoGPT-o1
- HuatuoGPT-II
- Baichuan-M3
- Baichuan-M2
- Baichuan-M1
- BianQue
- 孙思邈 (Sunsimiao)
- QiZhenGPT
- HuaTuoGPT
- XrayGLM
- ChatMed
- RAG 增强中医问答置信度
- GPT-4 中医研究生考试评估
- 中医药问答大语言模型
- 中医标准化评估基准
- 中医药大模型知识增强方法
- ACUBERT
- BSG 中医智能问答
- TCMD
- PresRecST
- RLAIF 中医对齐
- 中医提示工程框架
- ChatGPT 中医知识理解探究
- TCMSF
- TCM MLKG-RAG
- TCM-BERT
- ZY-BERT
- Evi-BERT
- ChatGPT 中医交互可行性研究
- 中医领域知识图谱补全
- LLM 构建中医知识图谱
- LLM 中医语言文化偏差研究
- LLM 腧穴定位关系抽取
- TCM-FTP
- CPMI-ChatGLM
- TCM-GPT
- BenCao (formerly HuaTuo)
- 明医 (MING)
- 大数中医 (BigDataTCM)
- DFGLM-TCM
- Lingdan-V2
- TCMLLM / Lingdan
- MedChatZH
- Chinese-LLaVA-Med
- GPT 台湾中医执业考试评估
- 双通道知识注意力辨证模型
- 中医药标准知识问答系统
- Hengqin-RA-v1
- Gen-SynDi
- 辨证思维评测 (Syndrome Differentiation Thinking)
- 针灸大模型驯化与生成评估 (Taming LLMs for Acupuncture)
- TCM-Sage
- From Metaphor to Mechanism
- New Snow Tablets
- TCDiff
- Ladder-base (GRPO-TCM)
- MRD-RAG
- TCM compound retrieval agent
- LM extraction for complementary medicine
- LLM-driven TCM KG construction
- 中医医案问答系统
- LLM + RAG TCM inference
- Weighted-voting TCM formula classification
- TCM guideline adherence evaluation
- 5-LLM TCM clinical decision comparison
- TCM stroke LLM benchmark
- LLM herb–drug interaction prediction
- TCMLCM
- Chinese patent medicine knowledge system
- TCMRD-KG
- TCM-Eval (WISE 2025)
- Few-shot tongue-diagnosis in-context multitask learning
- TCM misinformation detection evaluation
- ChatGLM-FGIDs-TCM
- TCM-VisResolve (TCM-VR)
- TCM-DS
- XuanHuGPT
- Jingfang
- 神农Alpha
- ZhiFangDanTai
- Baize-TCM-LLM
- ZMT-M1
- BianCang
- Qibo
- TianHui
- Tianyi
- 仲景 (ZhongJing)
- RenShu-AI
- Yaoshi-RAG
- ViTCM-LLM
- TCMChat
- TCM-R1
- TCM-Ladder
- TCM-KLLaMA
- TCM-BEST4SDT
- TCM-5CEval
- TCM-3CEval
- TCM LLM acupuncture clinical evaluation
- ShizhenGPT
- RAG-CPMF
- OpenTCM
- MTCMB
- MCM
- DoPI
- DiagX-DT
- ChatTCM
- BenCao
- Medicinal-plant MLLM benchmark
- Large vs lightweight LLMs on TCM exams
- TCM AI-tutor evaluation
- Three-LLM TCM licensing exam evaluation
- TCM intelligent pre-consultation clinical evaluation
- TCM Data Hub (YiYuan)
- TCMNet
- CMM-EmbedCluster
- KDC-NER
- Jin San Zhen KG-QA
- TCMI-F-6D
- Tongue–face multimodal fusion diagnosis
- TCMBenchEval
- Med-Bench-Arena
- TongueDx2
- MACAT
- DongYuan
- Med-Shicheng
- HerbWise
- QingNangTCM
- End-to-end TCM clinical support benchmark
- ATCMD-Bench
- LingLan
- Xinghe
- TongueVLM
- TCM-DiffRAG
- TCM-Agent
- Qwen-TCM-Dia
- MMIR-TCM
- GastroTCM
- DERM-3R
- CORE-Acu
FAQ
What is a TCM LLM?
A TCM LLM is a large language model adapted to Traditional Chinese Medicine through continued pretraining or instruction tuning on TCM canons, case records, herbal formulas, and clinical corpora. It can perform syndrome differentiation, formula recommendation, and TCM knowledge QA. Representative systems include BianQue, HuaTuoGPT, ShenNong, ZhongJing, and ShizhenGPT.
What are the representative TCM LLMs?
Representative TCM LLMs include BianQue, HuaTuoGPT, ShenNong-TCM-LLM, ZhongJing, Qibo, ShizhenGPT, Baize-TCM-LLM, TCMChat, XuanHuGPT, and MedChatZH (first-author work on this site). See the catalog above for the full list.
What public TCM LLM datasets and benchmarks are available?
Widely used benchmarks include TCMBench, MTCMB, TCM-Eval, and the Qibo Benchmark; open datasets include TCMChat-dataset-600k, ShenNong_TCM_Dataset, and the TCM-Ancient-Books corpus. Filter by "dataset" or "benchmark" in the catalog.
How often is this TCM LLM list updated?
The catalog is maintained in sync with the open-source GitHub project Awesome-TCM-LLM; newly released TCM models, papers, benchmarks, datasets, and patents are added continuously. The last-updated date is shown at the top of the catalog.
Which TCM LLMs are open-weight?
Public checkpoints include ShenNong-TCM-LLM, TCMChat, ChatTCM, Xinghe, ZhiFangDanTai, TCMLLM/Lingdan, and MedChatZH, alongside paper- or product-only systems such as BianQue, HuaTuoGPT, ZhongJing, Qibo, ShizhenGPT, Baize-TCM-LLM, and XuanHuGPT. See the open TCM LLMs page.
Are there TCM LLM patents in this catalog?
Yes. The catalog collects invention patents on TCM LLMs, knowledge graphs, RAG, intelligent inquiry, and prescription recommendation (published or granted)—not a dump of herbal-formula patents. See the TCM LLM patents page, or filter the catalog by type.
What is Awesome-TCM-LLM?
Awesome-TCM-LLM is a curated catalog of Traditional Chinese Medicine large language models maintained by Yang Tan. The GitHub repository and this page share the same source of truth for models, papers, surveys, datasets, patents, and news.
How can I submit a new TCM LLM resource?
Suggest models, papers, datasets, patents, or news via a GitHub Issue; accepted submissions are synced to this page and the README.
Cite this catalog
If the list is useful in a paper or survey, please cite the GitHub repository so search engines and LLM assistants can align “TCM LLM” with Awesome-TCM-LLM:
Yang Tan. Awesome-TCM-LLM: curated Traditional Chinese Medicine large language models.
https://github.com/tyang816/Awesome-TCM-LLM
Web catalog: https://tyang816.github.io/projects/tcm/Related first-author work
MedChatZH is a Baichuan-7B model fine-tuned for Chinese medical / TCM consultation — a concrete model release alongside this curated hub.
Contribute
Suggest a resource via GitHub Issue. Star the project on GitHub if you find it useful. Chinese UI: /zh/projects/tcm/.