Artificial Intelligence Compared to Manual Selection of Prospective Surgical Residents.

Journal: Journal of surgical education
PMID: 39509905

Abstract

BACKGROUND: Artificial Intelligence (AI) in the selection of residency program applicants is a new tool that is gaining traction, with the aim of screening high numbers of applicants while introducing objectivity and mitigating bias in a traditionally subjective process. This study aims to compare applicants screened by an AI software to a single Program Director (PD) for interview selection.

Authors

  • Monalisa Hassan
    Department of Surgery, Howard University Hospital, Washington, District of Columbia; Department of Surgery, University of California, Davis, California.
  • Marco Ayad
    Department of Surgery, Howard University Hospital, Washington, District of Columbia.
  • Christine Nembhard
    Department of Surgery, Howard University Hospital, Washington, District of Columbia.
  • Andrea Hayes-Dixon
    Department of Surgery, Howard University Hospital, Washington, District of Columbia.
  • Anna Lin
    Department of Surgery, Howard University Hospital, Washington, District of Columbia.
  • Mahin Janjua
    Department of Surgery, Howard University Hospital, Washington, District of Columbia.
  • Jan Franko
    Department of Surgery, MercyOne Des Moines Medical Center, Iowa.
  • May Tee
    Department of Surgery, Howard University Hospital, Washington, District of Columbia. Electronic address: May.Tee@howard.edu.

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