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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (115) Artificial Intelligence (2071) Natural Language Processing (898) e-Learning and Digital Medical Education (881) Clinical Information and Decision Making (1879) Ontologies, Classifications, and Coding (319) Machine Learning (2039) Chatbots and Conversational Agents (718) Generative Language Models Including ChatGPT (675)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48514, first published .
Performance of ChatGPT on the Chinese Postgraduate Examination for Clinical Medicine: Survey Study

Performance of ChatGPT on the Chinese Postgraduate Examination for Clinical Medicine: Survey Study

Performance of ChatGPT on the Chinese Postgraduate Examination for Clinical Medicine: Survey Study

Authors of this article:

Peng Yu1 Author Orcid Image ;   Changchang Fang1 Author Orcid Image ;   Xiaolin Liu2 Author Orcid Image ;   Wanying Fu1 Author Orcid Image ;   Jitao Ling1 Author Orcid Image ;   Zhiwei Yan3 Author Orcid Image ;   Yuan Jiang4 Author Orcid Image ;   Zhengyu Cao4 Author Orcid Image ;   Maoxiong Wu4 Author Orcid Image ;   Zhiteng Chen4 Author Orcid Image ;   Wengen Zhu5 Author Orcid Image ;   Yuling Zhang4 Author Orcid Image ;   Ayiguli Abudukeremu4 Author Orcid Image ;   Yue Wang4 Author Orcid Image ;   Xiao Liu4 Author Orcid Image ;   Jingfeng Wang4 Author Orcid Image
Article Authors Cited by (24) Tweetations (2) Metrics

Journals

  1. Chan J, Dong T, Angelini G. The performance of large language models in intercollegiate Membership of the Royal College of Surgeons examination. The Annals of The Royal College of Surgeons of England 2024;106(8):700 View
  2. Wang Y, Chen Y, Sheng J. Assessing ChatGPT as a Medical Consultation Assistant for Chronic Hepatitis B: Cross-Language Study of English and Chinese. JMIR Medical Informatics 2024;12:e56426 View
  3. Fan K, Fan K. Dermatological Knowledge and Image Analysis Performance of Large Language Models Based on Specialty Certificate Examination in Dermatology. Dermato 2024;4(4):124 View
  4. Ho C, Tian T, Ayers A, Aaron R, Phillips V, Wolf R, Mathioudakis N, Dai T, Klonoff D. Qualitative metrics from the biomedical literature for evaluating large language models in clinical decision-making: a narrative review. BMC Medical Informatics and Decision Making 2024;24(1) View
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  6. Burisch C, Bellary A, Breuckmann F, Ehlers J, Thal S, Sellmann T, Gödde D. ChatGPT-4 Performance on German Continuing Medical Education—Friend or Foe (Trick or Treat)? Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2025;14:e63887 View
  7. Temiz M, Güzel C. Assessing the Performance of ChatGPT on Dentistry Specialization Exam Questions: A Comparative Study with DUS Examinees. Medical Records 2025;7(1):162 View
  8. Bany Abdelnabi A, Soykan B, Bhatti D, Rabadi G. Usefulness of Large Language Models (LLMs) for Student Feedback on H&P During Clerkship: Artificial Intelligence for Personalized Learning. ACM Transactions on Computing for Healthcare 2025 View
  9. Xiong Y, Zhan Z, Zhong C, Zeng W, Guo J, Tang W, Liu C. Evaluating the Performance of Large Language Models (LLMs) in Answering and Analysing the Chinese Dental Licensing Examination. European Journal of Dental Education 2025;29(2):332 View
  10. Cailhol L, Durpoix A, Poirier S, Prada P, Salles J, Slovak S, Yrondi A. Impact d’une formation francophone, internationale et en ligne sur le trouble de la personnalité. Annales Médico-psychologiques, revue psychiatrique 2025;183(7):703 View
  11. Yang C, Chen Y, Qian C, Shi F, Guo Y. The data-intensive research paradigm: challenges and responses in clinical professional graduate education. Frontiers in Medicine 2025;12 View
  12. Huang H, Shu S. The effectiveness of ChatGPT in pediatric simulation-based tests of nursing courses in Taiwan: A descriptive study. Clinical Simulation in Nursing 2025;102:101732 View
  13. Elkin P, Mehta G, LeHouillier F, Resnick M, Mullin S, Tomlin C, Resendez S, Liu J, Nebeker J, Brown S. Semantic Clinical Artificial Intelligence vs Native Large Language Model Performance on the USMLE. JAMA Network Open 2025;8(4):e256359 View
  14. Federico L, Fusaro D, Coppola G, Gregori M, Durante S. Application of ChatGPT 4.0 in radiological dose management: Perceptions of radiographers with varying expertise. Radiography 2025;31(4):102972 View
  15. Li Z, Yan C, Cao Y, Gong A, Li F, Zeng R. Evaluating performance of large language models for atrial fibrillation management using different prompting strategies and languages. Scientific Reports 2025;15(1) View
  16. La Bella S, Bayraktar D, Porreca A, Li L, Attanasi M, Aliyev E, Migowa A, Scott C, Thakare D, Bayindir Y, Consolaro A, Feldman B, Ozen S. Global variations in artificial intelligence-generated information on juvenile idiopathic arthritis. Rheumatology 2025 View
  17. Arslan S, Usta Küçükbezirci G. Evaluating the Accuracy, Completeness, and Readability of Chatbot Responses to Refractive Surgery-Related Patient Questions: A Comparative Analysis of ChatGPT and Google Gemini. Cureus 2025 View
  18. Liu Y, Yu F, Zhang X, Tong X, Li K, Gu W, Yu B. Assessing the Role of Large Language Models Between ChatGPT and DeepSeek in Asthma Education for Bilingual Individuals: Comparative Study. JMIR Medical Informatics 2025;13:e65365 View
  19. Wu R, Zong H, Wu E, Li J, Zhou Y, Zhang C, Zhang Y, Wang J, Tang T, Shen B. Improving large language models for miRNA information extraction via prompt engineering. Computer Methods and Programs in Biomedicine 2025;271:109033 View
  20. Tian L, Lu Y, Fei X, Lu J. Intelligent Head and Neck CTA Report Quality Detection with Large Language Models. Journal of Imaging Informatics in Medicine 2025 View
  21. Lin Y, Luo Z, Ye Z, Zhong N, Zhao L, Zhang L, Li X, Chen Z, Chen Y. Applications, Challenges, and Prospects of Generative Artificial Intelligence Empowering Medical Education: Scoping Review. JMIR Medical Education 2025;11:e71125 View
  22. Jaleel A, Aziz U, Farid G, Zahid Bashir M, Mirza T, Khizar Abbas S, Aslam S, Sikander R. Evaluating the Potential and Accuracy of ChatGPT-3.5 and 4.0 in Medical Licensing and In-Training Examinations: Systematic Review and Meta-Analysis. JMIR Medical Education 2025;11:e68070 View

Books/Policy Documents

  1. Mengfan Z, Osman K. 2024 Yearbook Emerging Technologies in Learning. View

Conference Proceedings

  1. Huang J, Wei Y, Zhang L, Chen W. 2024 International Symposium on Educational Technology (ISET). Evaluating generative artificial intelligence in answering course-related open questions: A pilot study View