Curriculum Frameworks and Educational Programs in AI for Medical Students, Residents, and Practicing Physicians: Scoping Review.

Journal: JMIR medical education
Published Date: Jul 18, 2024

Abstract

BACKGROUND: The successful integration of artificial intelligence (AI) into clinical practice is contingent upon physicians' comprehension of AI principles and its applications. Therefore, it is essential for medical education curricula to incorporate AI topics and concepts, providing future physicians with the foundational knowledge and skills needed. However, there is a knowledge gap in the current understanding and availability of structured AI curriculum frameworks tailored for medical education, which serve as vital guides for instructing and facilitating the learning process.

Authors

  • Raymond Tolentino
    Department of Family Medicine, McGill University, Montreal, QC, Canada.
  • Ashkan Baradaran
    Department of Family Medicine, McGill University, Montreal, QC, Canada.
  • Genevieve Gore
    Schulich Library of Physical Sciences, Life Sciences and Engineering, McGill University, Montreal, QC, Canada.
  • Pierre Pluye
    Department of Family Medicine, McGill University, Montreal, QC, Canada.
  • Samira Abbasgholizadeh-Rahimi
    Department of Family Medicine, McGill University, Montreal, Quebec, Canada; Department of Electrical and Computer Engineering, McGill University, Montreal, Canada; Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada; Mila Quebec AI Institute, Montreal, Canada.

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