Artificial Intelligence and Surgical Education: A Systematic Scoping Review of Interventions.

Journal: Journal of surgical education
Published Date: Oct 30, 2021

Abstract

OBJECTIVE: To synthesize peer-reviewed evidence related to the use of artificial intelligence (AI) in surgical education DESIGN: We conducted and reported a scoping review according to the standards outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analysis with extension for Scoping Reviews guideline and the fourth edition of the Joanna Briggs Institute Reviewer's Manual. We systematically searched eight interdisciplinary databases including MEDLINE-Ovid, ERIC, EMBASE, CINAHL, Web of Science: Core Collection, Compendex, Scopus, and IEEE Xplore. Databases were searched from inception until the date of search on April 13, 2021.

Authors

  • Abirami Kirubarajan
    Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada.
  • Dylan Young
    Department of Electrical, Computer and Biomedical Engineering, Faculty of Engineering and Architectural Science, Ryerson University, Toronto, ON M5B 2K3, Canada.
  • Shawn Khan
    Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Noelle Crasto
    Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, Ontario, Canada.
  • Mara Sobel
    Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, Ontario, Canada; Institute for Biomedical Engineering, Science and Technology (iBEST) at Ryerson University and St. Michael's Hospital, Toronto, Ontario, Canada.
  • Dafna Sussman
    Department of Electrical, Computer and Biomedical Engineering, Faculty of Engineering and Architectural Science, Ryerson University, Toronto, ON M5B 2K3, Canada.

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