resource · 2025

基于雅意大模型的中医智能预问诊

中医杂志

Organizations: 中国中医科学院医学实验中心 / 中国科学院自动化研究所 / 天津中科闻歌科技有限公司 / 中国中医科学院中医基础理论研究所

基于雅意大模型的中医智能预问诊 is a resource in the TCM LLM catalog (Awesome-TCM-LLM), dated 2025. It is maintained alongside the GitHub list of Traditional Chinese Medicine large language models.

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.

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