Accessibility settings

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

Artificial Intelligence (AI) in Medical Education (232) Generative Language Models Including ChatGPT (818) Complementary and Alternative Medicine (122) Preliminary Experiences with New Educational Technology (47) Applications of AI (345)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58897, first published .
Performance of ChatGPT-4 on Taiwanese Traditional Chinese Medicine Licensing Examinations: Cross-Sectional Study

Performance of ChatGPT-4 on Taiwanese Traditional Chinese Medicine Licensing Examinations: Cross-Sectional Study

Performance of ChatGPT-4 on Taiwanese Traditional Chinese Medicine Licensing Examinations: Cross-Sectional Study

Authors of this article:

Liang-Wei Tseng1 Author Orcid Image ;   Yi-Chin Lu2 Author Orcid Image ;   Liang-Chi Tseng3 Author Orcid Image ;   Yu-Chun Chen4, 5, 6 Author Orcid Image ;   Hsing-Yu Chen2, 7 Author Orcid Image
Article Authors Cited by (9) Tweetations (1) Metrics

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 T, Jheng J, Tseng Y, Chen L, Chen Y. Evaluating GPT-4’s visual interpretation and clinical reasoning on emergency settings: A 5-year analysis. Journal of the Chinese Medical Association 2025;88(9):672 View
  3. Chen G, Lin C, Zhang L, Luo Z, Shin Y, Li X. Virtual case reasoning and AI-assisted diagnostic instruction: an empirical study based on body interact and large language models. BMC Medical Education 2025;25(1) View
  4. Wang B, Zhang M, Wang Z, Yao K, Hao M, Wang J, Peng S, Zhu Y. Supporting postgraduate exam preparation with large language models: implications for traditional Chinese medicine education. Frontiers in Medicine 2026;12 View
  5. Ayala-Carabajo R, Llerena-Izquierdo J. Comparative Experimental Studies on Superior Cognitive Domains: AI Versus Humans. Technologies 2026;14(1):55 View
  6. Strasser L, Anschuetz W, Dennstädt F, Hastings J. Performance Evaluation of Large Language Models in Multilingual Medical Multiple-Choice Questions: Mixed Methods Study. JMIR Medical Education 2026;12:e81399 View
  7. Zhou S, Zhang Y, Chen X, Zhong Q, Sun F, Xu R, Sun Z, Sun J, Yang L, Xie Z, Zhang Q, Yan S, Cai Y, Yu H, Xu Y. Reliability and quality assessment of internet videos as guidance for dietary weight loss intervention: a cross-sectional study in China. Frontiers in Public Health 2026;14 View
  8. Zhang C, Wang N, Chen G, Feng Y. ChatCM‐RAG: A deep learning‐based natural language processing pipeline for analysing ChatGPT applications in medicine using BERTopic and transformer‐based retrieval‐augmented generation. Clinical and Translational Discovery 2026;6(2) View
  9. Zhang Y, Wang X, He Y, Rong H, Meng Y. Bibliometric analysis and knowledge graph visualization of artificial intelligence used in medical education: a systematic review. Evidence-Based Chinese Medicine and Technology Assessment 2026;2(1):9570027 View