Effect of machine learning models on clinician prediction of postoperative complications: the Perioperative ORACLE randomised clinical trial.

Journal: British journal of anaesthesia
PMID: 39261226

Abstract

BACKGROUND: Anaesthesiologists might be able to mitigate risk if they know which patients are at greatest risk for postoperative complications. This trial examined the impact of machine learning models on clinician risk assessment.

Authors

  • Bradley A Fritz
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Christopher R King
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Mohamed Abdelhack
    Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo-Ku, Kyoto 606-8501, Japan.
  • Yixin Chen
    Department of Computer Science and Engineering, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Alex Kronzer
    Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri, USA.
  • Joanna Abraham
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Sandhya Tripathi
    Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, USA.
  • Arbi Ben Abdallah
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Thomas Kannampallil
    Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri, USA.
  • Thaddeus P Budelier
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Daniel Helsten
    Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, USA.
  • Arianna Montes de Oca
    Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, USA.
  • Divya Mehta
    Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA.
  • Pratyush Sontha
    Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, USA.
  • Omokhaye Higo
    Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, USA.
  • Paul Kerby
    Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, USA.
  • Stephen H Gregory
    Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, USA.
  • Troy S Wildes
    Department of Anesthesiology, Washington University in St Louis, St Louis, Missouri, USA.
  • Michael S Avidan
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.

Keywords

External Resources

Popular Topics
Recent Journals