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

Journal: Journal of medical Internet research
PMID: 40344200

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.

Authors

  • Qi Chwen Ong
    School of Life Course and Population Sciences, King's College London, London, United Kingdom.
  • Chin-Siang Ang
    Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
  • Nai Ming Lai
    WHO Collaborating Centre for Digital Health and Health Education, Nanyang Technological University, Singapore, Singapore.
  • Rifat Atun
    Department of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA.
  • Josip Car
    Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Cambridge, MA, United States.

Keywords

External Resources

Popular Topics
Recent Journals