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

Formative Evaluation of Digital Health Interventions (5148) Methods and Feasibility Studies (754) Testing and Assessment in Medical Education (224) New Methods and Approaches in Medical Education (637) Orthopedics (150) Artificial Intelligence (4791) Generative Language Models Including ChatGPT (1529)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75607, first published .
Medical team collaborating during a presentation with a whiteboard

Comparing ChatGPT and DeepSeek for Assessment of Multiple-Choice Questions in Orthopedic Medical Education: Cross-Sectional Study

Comparing ChatGPT and DeepSeek for Assessment of Multiple-Choice Questions in Orthopedic Medical Education: Cross-Sectional Study

Authors of this article:

Chirathit Anusitviwat1 Author Orcid Image ;   Sitthiphong Suwannaphisit2 Author Orcid Image ;   Jongdee Bvonpanttarananon1 Author Orcid Image ;   Boonsin Tangtrakulwanich1 Author Orcid Image
Article Authors Cited by (6) Tweetations (1) Metrics

Journals

  1. Anusitviwat C, Suwannaphisit S, Bvonpanttarananon J, Tangtrakulwanich B. Correction: Comparing ChatGPT and DeepSeek for Assessment of Multiple-Choice Questions in Orthopedic Medical Education: Cross-Sectional Study. JMIR Formative Research 2026;10:e92549 View
  2. Anusitviwat C, Suwannaphisit S, Bvonpanttarananon J, Tangtrakulwanich B. Authors’ Reply: Critical Limitations in Comparing ChatGPT and DeepSeek for Orthopedic Assessment. JMIR Formative Research 2026;10:e91470 View
  3. Ayas O, Acar A. Critical Limitations in Comparing ChatGPT and DeepSeek for Orthopedic Assessment. JMIR Formative Research 2026;10:e90242 View
  4. Ma X, Liu X, Sun H. The effectiveness of GAI-assisted teaching methods in medical education: a systematic review and meta-analysis. Frontiers in Public Health 2026;14 View
  5. Zhang H, Wang D, Xu Y, Han S, Wang G. Applications of DeepSeek in Medicine: Bibliometric Analysis and Scoping Review. Journal of Medical Internet Research 2026;28:e93354 View
  6. Wu Z, Xu H, Feng F, Cheng R, Shi T, Wang S, Zhang S, Li Y. Bilingual Performance of Large Language Models in Consumer Health Questions Answering in English and Chinese: Comparative Benchmark Study (Preprint). Journal of Medical Internet Research 2026 View