Artificial Intelligence in Undergraduate Medical Education: A Scoping Review.

Journal: Academic medicine : journal of the Association of American Medical Colleges
Published Date: Nov 1, 2021

Abstract

PURPOSE: Artificial intelligence (AI) is a rapidly growing phenomenon poised to instigate large-scale changes in medicine. However, medical education has not kept pace with the rapid advancements of AI. Despite several calls to action, the adoption of teaching on AI in undergraduate medical education (UME) has been limited. This scoping review aims to identify gaps and key themes in the peer-reviewed literature on AI training in UME.

Authors

  • Juehea Lee
    J. Lee is a third-year medical student, University of Toronto, Temerty Faculty of Medicine, Toronto, Ontario, Canada.
  • Annie Siyu Wu
    A.S. Wu is a third-year medical student, University of Toronto, Temerty Faculty of Medicine, Toronto, Ontario, Canada.
  • David Li
    Department of Preclinical Research, Angion Biomedica Corporation, Nassau, NY 11553, USA. david_li@college.harvard.edu.
  • Kulamakan Mahan Kulasegaram
    K. Kulasegaram is associate professor, Department of Family and Community Medicine, University of Toronto and The Wilson Centre, University Health Network, Toronto, Ontario, Canada.

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