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.
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Ong, Q. C., Ang, C. S., Lai, N. M., Atun, R., & Car, J. (2025). Differences in Expert Perspectives on AI Training in Medical Education: Secondary Analysis of a Multinational Delphi Study. Journal of Medical Internet Research, 27(1). https://doi.org/10.2196/72186
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