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

Qi Chwen Ong, Chin-Siang Ang, N. Lai, R. Atun, Josip Car

Journal of Medical Internet Research, 2025

5 citations

Abstract

Abstract 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.

How strong is the evidence?

Evidence Hub reads this as a secondary / pooled analysis. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence.

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