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

Research Letter (48) Artificial Intelligence (1773) e-Learning and Digital Medical Education (804) Artificial Intelligence (AI) in Medical Education (128)

Published on in Vol 27 (2025)

This is a member publication of JISC

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72186, first published .
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

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 Tweetations (1) Metrics

Qi Chwen Ong   1, 2 , MBBS ;   Chin-Siang Ang   3 , PhD ;   Nai Ming Lai   4 , MBBS, MRCPCH ;   Rifat Atun   5, 6 , MBBS, MBA ;   Josip Car   7 , MSc, MD, PhD

1 School of Public Health, Imperial College London, London, United Kingdom

2 Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore

3 WHO Collaborating Centre for Digital Health and Health Education, Nanyang Technological University, Singapore, Singapore

4 School of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Malaysia

5 Department of Global Health and Population, Harvard TH Chan School of Public Health, Harvard University, Cambridge, MA, United States

6 Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Cambridge, MA, United States

7 School of Life Course and Population Sciences, King's College London, London, United Kingdom

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