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

Research Letter (233) e-Learning and Digital Medical Education (1512) Artificial Intelligence (4470) Artificial Intelligence (AI) in Medical Education (631)

Published on in Vol 27 (2025)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72186, first published .
Doctors in a meeting discussing medical charts and patient care.

Differences in Expert Perspectives on AI Training in Medical Education: Secondary Analysis of a Multinational Delphi Study

Differences in Expert Perspectives on AI Training in Medical Education: Secondary Analysis of a Multinational Delphi Study

Authors of this article:

Qi Chwen Ong1, 2 Author Orcid Image ;   Chin-Siang Ang3 Author Orcid Image ;   Nai Ming Lai4 Author Orcid Image ;   Rifat Atun5, 6 Author Orcid Image ;   Josip Car7 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Ang C. Developing AI literacy in healthcare education: bridging the gap in competency assessment. Discover Education 2025;4(1) View
  2. Bin Abdulrahman K, Hefny M. Theoretical evolution of AI in medical education: models, frameworks, and future directions. Frontiers in Education 2026;11 View
  3. Izquierdo-Condoy J, Arias-Intriago M, Montero Corrales L, Ortiz-Prado E. Authors’ Reply: Methodological Concerns in AI Medical Education Frameworks (Preprint). JMIR Medical Education 2026 View