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

Formative Evaluation of Digital Health Interventions (3426) Orthopedics (111) New Methods and Approaches in Medical Education (419) Testing and Assessment in Medical Education (114) Methods and Feasibility Studies (515) Artificial Intelligence (2328) Generative Language Models Including ChatGPT (799)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75607, first published .
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

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 (3) 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