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LLMs outperform physicians in TCM diagnostics but require oversight

By PulseAugur Editorial · [1 sources] ·

A new study published on arXiv evaluated the performance of 16 large language models (LLMs) against 60 practicing traditional Chinese medicine (TCM) physicians. The LLMs demonstrated superior performance in areas like medical advice and diagnostic tasks, scoring higher than human physicians in evaluations by senior TCM experts. However, the models exhibited limitations in prescription accuracy, including herb selection and dosage, and produced concerning outputs such as hallucinations and template-driven responses, necessitating physician oversight. AI

IMPACT LLMs show potential for decision support in specialized medical fields, but require human oversight for safety and accuracy.

RANK_REASON The cluster contains an academic paper evaluating LLM performance on a specific domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLMs outperform physicians in TCM diagnostics but require oversight

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The cluster contains an academic paper evaluating LLM performance on a specific domain. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Jiacheng Xie, Xiaoting Tang, Yang Yu, Jinpu Li, Shouli Li, Congcong Jing, Yantao Yang, Zhiyong Zhao, Ziyang Zhang, Qilin Song, Guanghui An, Dong Xu ·

    Large Language Models Versus Physicians in Traditional Chinese Medicine: A Real-World Clinical Case Evaluation

    arXiv:2609.17544v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly being explored for clinical applications, yet their assessment for real-world traditional Chinese medicine (TCM) practice remains limited We constructed a clinical case library comprisin…

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