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

Design and Evaluation of Medical Education Materials (55) Testing and Assessment in Medical Education (117) Artificial Intelligence (2395) Artificial Intelligence (AI) in Medical Education (238) Generative Language Models Including ChatGPT (841) Applications of AI (357)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77978, first published .
Multiple Large Language Models’ Performance on the Chinese Medical Licensing Examination: Quantitative Comparative Study

Multiple Large Language Models’ Performance on the Chinese Medical Licensing Examination: Quantitative Comparative Study

Multiple Large Language Models’ Performance on the Chinese Medical Licensing Examination: Quantitative Comparative Study

Authors of this article:

Yanyu Diao1 Author Orcid Image ;   Mengyuan Wu1 Author Orcid Image ;   Jingwen Xu1 Author Orcid Image ;   Yifeng Pan1 Author Orcid Image
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Journals

  1. Tang Y, Chen J, Wang S, Karobari M. Performance benchmarking of LLMs on Chinese national medical licensing education: Cross-lingual and question-type effects. PLOS One 2026;21(4):e0346518 View