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Differences in Expert Perspectives on AI Training in Medical Education: Secondary Analysis of a Multinational Delphi
Qi Chwen Ong1,2, Chin-Siang Ang3, Nai Ming Lai4
1School of Public Health, Imperial College London, White City Campus, 90 Wood Lane, London, W12 0BZ, United Kingdom, 44 20-7589-511.
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In 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.
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