Artificial intelligence versus surgeon gestalt in predicting risk of emergency general surgery.

Journal: The journal of trauma and acute care surgery
Published Date: Jun 14, 2023

Abstract

BACKGROUND: Artificial intelligence (AI) risk prediction algorithms such as the smartphone-available Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) for emergency general surgery (EGS) are superior to traditional risk calculators because they account for complex nonlinear interactions between variables, but how they compare to surgeons' gestalt remains unknown. Herein, we sought to: (1) compare POTTER to surgeons' surgical risk estimation and (2) assess how POTTER influences surgeons' risk estimation.

Authors

  • Mohamad El Moheb
    Division of Trauma, Emergency Surgery, and Surgical Critical Care, Massachusetts General Hospital, Boston, Massachusetts.
  • Anthony Gebran
    - University of Pittsburgh Medical Center, Department of Surgery - Pittsburgh - PA - Estados Unidos.
  • Lydia R Maurer
    Department of Surgery, Massachusetts General Hospital, Boston, MA.
  • Leon Naar
    Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
  • Majed El Hechi
    Division of Trauma, Emergency Surgery, and Surgical Critical Care, Massachusetts General Hospital, Boston, Massachusetts.
  • Kerry Breen
  • Ander Dorken-Gallastegi
  • Robert Sinyard
    Division of Trauma, Emergency Surgery, and Surgical Critical Care, Department of Surgery, Massachusetts General Hospital, Boston, MA.
  • Dimitris Bertsimas
    Dimitris Bertsimas, Jack Dunn, Colin Pawlowski, John Silberholz, Alexander Weinstein, and Ying Daisy Zhuo, Massachusetts Institute of Technology, Cambridge; Eddy Chen, Massachusetts General Hospital Cancer Center; Harvard Medical School; Aymen A. Elfiky, Dana-Farber Cancer Institute; Brigham and Women's Hospital; Harvard Medical School, Boston, MA.
  • George Velmahos
  • Haytham M A Kaafarani
    Massachusetts General Hospital & Harvard Medical School, Boston, MA.

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