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

Formative Evaluation of Digital Health Interventions (3291) Orthopedics (101) New Methods and Approaches in Medical Education (389) Testing and Assessment in Medical Education (101) Methods and Feasibility Studies (469) Artificial Intelligence (2185) Generative Language Models Including ChatGPT (738)

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 Tweetations (1) Metrics

Chirathit Anusitviwat   1 , MD ;   Sitthiphong Suwannaphisit   2 , MD ;   Jongdee Bvonpanttarananon   1 ;   Boonsin Tangtrakulwanich   1 , MD, PhD

1 Department of Orthopedics, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand

2 Department of Orthopaedics, Faculty of Medicine, Vajira Hospital, Navamindradhiraj University, Bangkok, Thailand

Corresponding Author:

  • Boonsin Tangtrakulwanich, MD, PhD
  • Department of Orthopedics, Faculty of Medicine
  • Prince of Songkla University
  • 15 Karnchanavanich Road
  • Hat Yai 90110
  • Thailand
  • Phone: 66 74451601
  • Email: boonsin.b@psu.ac.th