This paper is in the following e-collection/theme issue:

Theme Issue 2024: Health Natural Language Processing and Applications with Large Language Models (2) Generative Language Models Including ChatGPT (629) AI Language Models in Health Care (164) Complementary and Alternative Medicine (77)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75103, first published .
Evaluating and Improving Syndrome Differentiation Thinking Ability in Large Language Models: Method Development Study

Evaluating and Improving Syndrome Differentiation Thinking Ability in Large Language Models: Method Development Study

Evaluating and Improving Syndrome Differentiation Thinking Ability in Large Language Models: Method Development Study

Authors of this article:

Chunliang Chen1 Author Orcid Image ;   Xinyu Wang1 Author Orcid Image ;   Ming Guan1 Author Orcid Image ;   Wenjing Yue1, 2 Author Orcid Image ;   Yuanbin Wu1 Author Orcid Image ;   Ya Zhou3 Author Orcid Image ;   Xiaoling Wang1 Author Orcid Image
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Journals

  1. Zhao W, Lai H, Pan B, Huang J, Xia D, Bai C, Liu J, Liu J, Jin Y, Shang H, Liu J, Shi N, Liu J, Chen Y, Estill J, Ge L. Assessing the adherence of large language models to clinical practice guidelines in Chinese medicine: a content analysis. Frontiers in Pharmacology 2025;16 View
  2. Wang J, Liu Y, Li J, He H, Liu C, Song Y, Ma S. Artificial Intelligence in Traditional Chinese Medicine: Multimodal Fusion and Machine Learning for Enhanced Diagnosis and Treatment Efficacy. Current Medical Science 2025 View