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

Artificial Intelligence (AI) in Medical Education (631) e-Learning and Digital Medical Education (1512) Clinical Informatics (2107) Testing and Assessment in Medical Education (195) Generative Language Models Including ChatGPT (1375)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82116, first published .
Nurse in blue scrubs using a tablet with a stethoscope around her neck

AI-Driven Objective Structured Clinical Examination Generation in Digital Health Education: Comparative Analysis of Three GPT-4o Configurations

AI-Driven Objective Structured Clinical Examination Generation in Digital Health Education: Comparative Analysis of Three GPT-4o Configurations

Authors of this article:

Zineb Zouakia1, 2 Author Orcid Image ;   Emmanuel Logak1, 2 Author Orcid Image ;   Alan Szymczak1, 2 Author Orcid Image ;   Jean-Philippe Jais3, 4 Author Orcid Image ;   Anita Burgun1, 2 Author Orcid Image ;   Rosy Tsopra1, 2, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Harada Y. Robustness of a Large Language Model (LLM)–Based Virtual Patient for Japanese History-Taking Training Under Direct and Indirect Instructional Contamination. Cureus 2026 View
  2. Szychowiak P, Wong-So J, Messet H, Faure M, Breteau I, Jamard S, Barbier F, Desgrouas M. Large language model-generated versus teacher-written objective structured clinical examination stations for medical students: a blinded comparative pilot study. Journal of Educational Evaluation for Health Professions 2026;23:9 View