Prehospital triage of trauma patients: predicting major surgery using artificial intelligence as decision support.

Journal: The British journal of surgery
PMID: 40200724

Abstract

BACKGROUND: Matching the necessary resources and facilities to attend to the needs of trauma patients is traditionally performed by clinicians using criteria-directed triage protocols. In the present study, it was hypothesized that an artificial intelligence (AI) model should be able to predict the need for major surgery based on data available at the scene.

Authors

  • Andreas S Millarch
    Department of Organ Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
  • Fredrik Folke
    Copenhagen Emergency Medical Services, University of Copenhagen, Ballerup, Denmark.
  • Søren S Rudolph
    Department of Anaesthesia, Centre of Head and Orthopaedics, Rigshospitalet, Copenhagen, Denmark.
  • Haytham M Kaafarani
    Division of Trauma, Emergency Surgery, and Surgical Critical Care, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: HKAAFARANI@mgh.harvard.edu.
  • Martin Sillesen
    Department of Organ Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.

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