Applications of Artificial Intelligence in Helicopter Emergency Medical Services: A Scoping Review.

Journal: Air medical journal
PMID: 38490791

Abstract

OBJECTIVE: Recent systematic reviews of acute care medicine applications of artificial intelligence (AI) have focused on hospital and general prehospital uses. The purpose of this scoping review was to identify and describe the literature on AI use with a focus on applications in helicopter emergency medical services (HEMS).

Authors

  • Jennifer Hsueh
    Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA. Electronic address: jhsueh@bidmc.harvard.edu.
  • Christie Fritz
    Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
  • Caroline E Thomas
    Georgetown University, Washington, DC.
  • Andrew P Reimer
    Case Western Reserve University Frances Payne Bolton School of Nursing, Cleveland, OH; Cleveland Clinic Critical Care Transport, Cleveland, OH.
  • Andrew T Reisner
    Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
  • David Schoenfeld
    Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
  • Adrian Haimovich
    Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
  • Stephen H Thomas
    Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Blizard Institute, Barts and The London School of Medicine, London, United Kingdom.

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