Artificial Intelligence and Surgical Decision-making.

Journal: JAMA surgery
Published Date: Feb 1, 2020

Abstract

IMPORTANCE: Surgeons make complex, high-stakes decisions under time constraints and uncertainty, with significant effect on patient outcomes. This review describes the weaknesses of traditional clinical decision-support systems and proposes that artificial intelligence should be used to augment surgical decision-making.

Authors

  • Tyler J Loftus
    Department of Surgery, University of Florida Health, Gainesville, FL. Electronic address: tyler.loftus@surgery.ufl.edu.
  • Patrick J Tighe
    Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida, USA.
  • Amanda C Filiberto
    Department of Surgery, University of Florida Health, Gainesville, FL, USA.
  • Philip A Efron
    Department of Surgery, Sepsis and Critical Illness Research Center, University of Florida Health, Gainesville, Florida.
  • Scott C Brakenridge
    Department of Surgery, Sepsis and Critical Illness Research Center, University of Florida Health, Gainesville, Florida. Electronic address: Scott.Brakenridge@surgery.ufl.edu.
  • Alicia M Mohr
    Department of Surgery, Sepsis and Critical Illness Research Center, University of Florida Health, Gainesville, Florida.
  • Parisa Rashidi
    Department of Biomedical Engineering, University of Florida, Gainesville, FL USA.
  • Gilbert R Upchurch
    TCV Division, Department of Surgery, University of Virginia Medical Center, Charlottesville, Virginia.
  • Azra Bihorac
    Department of Medicine, University of Florida, Gainesville, FL USA.

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