Impact of artificial intelligence on pathologists' decisions: an experiment.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Sep 12, 2022

Abstract

OBJECTIVE: The accuracy of artificial intelligence (AI) in medicine and in pathology in particular has made major progress but little is known on how much these algorithms will influence pathologists' decisions in practice. The objective of this paper is to determine the reliance of pathologists on AI and to investigate whether providing information on AI impacts this reliance.

Authors

  • Julien Meyer
    School of Health Services Management, Ted Rogers School of Management, Toronto, Ontario, Canada.
  • April Khademi
    Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON Canada.
  • Bernard Têtu
    Oncology Division, Centre de recherche du Centre hospitalier universitaire de Québec-Université Laval, Quebec City, Quebec, Canada.
  • Wencui Han
    Department of Business administration, Gies College of Business, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA.
  • Pria Nippak
    School of Health Services Management, Ted Rogers School of Management, Toronto, Ontario, Canada.
  • David Remisch
    School of Health Services Management, Ted Rogers School of Management, Toronto, Ontario, Canada.

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