Artificial Intelligence and Cancer Control: Toward Prioritizing Justice, Equity, Diversity, and Inclusion (JEDI) in Emerging Decision Support Technologies.

Journal: Current oncology reports
Published Date: May 1, 2023

Abstract

PURPOSE FOR REVIEW: This perspective piece has two goals: first, to describe issues related to artificial intelligence-based applications for cancer control as they may impact health inequities or disparities; and second, to report on a review of systematic reviews and meta-analyses of artificial intelligence-based tools for cancer control to ascertain the extent to which discussions of justice, equity, diversity, inclusion, or health disparities manifest in syntheses of the field's best evidence.

Authors

  • Peter Taber
    Department of Biomedical Informatics, University of Utah School of Medicine, 421 Wakara Way, Salt Lake City, UT, 84108, USA. peter.taber@hsc.utah.edu.
  • Julie S Armin
    Department of Family and Community Medicine, University of Arizona College of Medicine, Tucson, AZ, USA.
  • Gabriela Orozco
    University of Arizona College of Medicine, Tucson, AZ, USA.
  • Guilherme Del Fiol
    Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, United States.
  • Jennifer Erdrich
    Division of Surgical Oncology, University of Arizona College of Medicine, Tucson, AZ, USA.
  • Kensaku Kawamoto
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
  • Sonoo Thadaney Israni
    Stanford University, Stanford, California.

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