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

AbstractIn this secondary analysis of a multinational Delphi study, experts from low- and middle-income countries were less likely than those from high-income countries to consider artificial intelligence (AI) learning outcomes mandatory in preregistration medical education, potentially r...

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Bibliographic Details
Main Authors: Qi Chwen Ong, Chin-Siang Ang, Nai Ming Lai, Rifat Atun, Josip Car
Format: Article
Language:English
Published: JMIR Publications 2025-05-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2025/1/e72186
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Summary:AbstractIn this secondary analysis of a multinational Delphi study, experts from low- and middle-income countries were less likely than those from high-income countries to consider artificial intelligence (AI) learning outcomes mandatory in preregistration medical education, potentially reflecting underlying global inequalities in medical AI education and highlighting the need for adaptable AI competency frameworks.
ISSN:1438-8871