FDA-reviewed artificial intelligence-enabled products applicable to emergency medicine.

Journal: The American journal of emergency medicine
PMID: 39755027

Abstract

OBJECTIVE: To identify and assess artificial intelligence (AI)-enabled products reviewed by the U.S. Food and Drug Administration (FDA) that are potentially applicable to emergency medicine (EM).

Authors

  • Jacob Morey
    Department of Emergency Medicine, Mayo Clinic, Rochester, MN. Electronic address: morey.jacob@mayo.edu.
  • John Schupbach
    Department of Emergency Medicine, Mayo Clinic, Rochester, MN, USA.
  • Derick Jones
    Department of Emergency Medicine, Mayo Clinic, Rochester, MN.
  • Laura Walker
    Department of Emergency Medicine, Mayo Clinic, Rochester, MN, USA.
  • Rachel Lindor
    Department of Emergency Medicine, Mayo Clinic, Rochester, MN, USA.
  • Brenna Loufek
    Center for Digital Health, Mayo Clinic, Rochester, MN 55905, United States.
  • Aidan Mullan
    Department of Emergency Medicine, Mayo Clinic, Rochester, MN, USA.
  • Daniel Cabrera
    Department of Emergency Medicine, Mayo Clinic College of Medicine, Rochester, MN, United States.

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