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Comparative Study of Generative Large Language Models for Professional Abilities in Traditional Chinese Medicine
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Tong ZHANG1, Yifan WANG1, Ruojia WANG1, Tian TIAN2, Zhanfeng YAN3, Fengying GUO1
Chinese Archives of Traditional Chinese Medicine | 2025, 43(10) : 19 - 27
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Chinese Archives of Traditional Chinese Medicine | 2025, 43(10): 19-27
• Digital Traditional Chinese Medicine •
Comparative Study of Generative Large Language Models for Professional Abilities in Traditional Chinese Medicine
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Tong ZHANG1, Yifan WANG1, Ruojia WANG1, Tian TIAN2, Zhanfeng YAN3, Fengying GUO1
Affiliations
  • 1.School of Management,Beijing University of Chinese Medicine,Beijing 100029,China
  • 2.School of Traditional Chinese Medicine,Beijing University of Chinese Medicine,Beijing 100029,China
  • 3.Dongzhimen Hospital of Beijing University of Chinese Medicine,Beijing 100029,China
Published: 2025-10-10 doi: 10.13193/j.issn.1673-7717.2025.10.004
Outline
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Objective

To evaluate the knowledge and clinical capabilities of large language models in the field of traditional Chinese medicine.

Methods

Using literature research and experimental research methods,9 different categories of large language models were selected,a data set of knowledge ability and clinical ability was constructed,and traditional Chinese medicine professional ability prompts were designed.The automatic evaluation method and expert scoring method were used to evaluate the large language models,and the variance was used.Analysis and multiple comparison methods were used to comparatively analyze the medical professional ability level of large language models.

Results

In the evaluation of knowledge ability,Lingyi Wanwu(78.93),Zhipu Qingyan(77.91)and Tongyi Qianwen(77.22)performed best.There were significant differences in the knowledge ability scores of different models,different subjects and different types of models(P<0.05).In the clinical capability evaluation,the responses generated by each model had high legibility(81.00),but low accuracy(74.86).Among them,the average score of Wenxin Yiyan was the highest at 85.40,and all five-dimension scores reached excellent levels(≥80).The difference in clinical ability scores of different types of models was significant.

Conclusion

The general large language model has advantages in generalization,legibility and security.The medical large language model performs well overall in the field of traditional Chinese medicine specialization and traditional Chinese medicine consultation.The application of large language models in the field of traditional Chinese medicine has broad development prospects in the future.

generative large language model  /  the field of traditional Chinese medicine  /  professional ability  /  comparison
张童, 王一凡, 王若佳, 田甜, 闫占峰, 郭凤英. 面向中医药领域专业能力的生成式大语言模型对比研究. 中华中医药学刊, 2025 , 43 (10) : 19 -27 . DOI: 10.13193/j.issn.1673-7717.2025.10.004
Tong ZHANG, Yifan WANG, Ruojia WANG, Tian TIAN, Zhanfeng YAN, Fengying GUO. Comparative Study of Generative Large Language Models for Professional Abilities in Traditional Chinese Medicine[J]. Chinese Archives of Traditional Chinese Medicine, 2025 , 43 (10) : 19 -27 . DOI: 10.13193/j.issn.1673-7717.2025.10.004
Year 2025 volume 43 Issue 10
38
17
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doi: 10.13193/j.issn.1673-7717.2025.10.004
  • Online Date:2026-10-30
  • Published:2025-10-10
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    1.School of Management,Beijing University of Chinese Medicine,Beijing 100029,China
    2.School of Traditional Chinese Medicine,Beijing University of Chinese Medicine,Beijing 100029,China
    3.Dongzhimen Hospital of Beijing University of Chinese Medicine,Beijing 100029,China
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表12种不同金属材料的力学参数
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Family
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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