AIFM-ed Curriculum Framework for Postgraduate Family Medicine Education on Artificial Intelligence: Mixed Methods Study.

Journal: JMIR medical education
PMID: 40279148

Abstract

BACKGROUND: As health care moves to a more digital environment, there is a growing need to train future family doctors on the clinical uses of artificial intelligence (AI). However, family medicine training in AI has often been inconsistent or lacking.

Authors

  • Raymond Tolentino
    Department of Family Medicine, McGill University, Montreal, QC, Canada.
  • Fanny Hersson-Edery
    Department of Family Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.
  • Mark Yaffe
    Department of Family Medicine, Faculty of Medicine and Health Sciences, 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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