Using an artificial intelligence software improves emergency medicine physician intracranial haemorrhage detection to radiologist levels.

Journal: Emergency medicine journal : EMJ
Published Date: Apr 22, 2024

Abstract

BACKGROUND: Tools to increase the turnaround speed and accuracy of imaging reports could positively influence ED logistics. The Caire ICH is an artificial intelligence (AI) software developed for ED physicians to recognise intracranial haemorrhages (ICHs) on non-contrast enhanced cranial CT scans to manage the clinical care of these patients in a timelier fashion.

Authors

  • Pranav Warman
    Caire Health, Tampa, Florida, USA.
  • Anmol Warman
    Caire Health Inc., Tampa, Florida, USA.
  • Roshan Warman
    Caire Health Inc., Tampa, Florida, USA.
  • Andrew Degnan
    Department of Radiology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Johan Blickman
    Caire Health, Tampa, Florida, USA.
  • David Smith
    London School of Hygiene and Tropical Medicine, Keppel Street, London, UK.
  • Paul McHale
    Caire Health, Tampa, Florida, USA.
  • Zachary Coburn
    Caire Health, Tampa, Florida, USA.
  • Sean McCormick
    Caire Health, Tampa, Florida, USA.
  • Varun Chowdhary
    Caire Health, Tampa, Florida, USA.
  • Dev Dash
    Department of Emergency Medicine, Stanford University, Stanford, California.
  • Rohit Sangal
    Yale School of Medicine, New Haven, Connecticut, USA.
  • Jason Vadhan
    UTSW, Dallas, Texas, USA.
  • Tulio Bueso
    Department of Neurology, Texas Tech University Medical Sciences Center, Lubbock, Texas, USA.
  • Thomas Windisch
    Department of Neurology, Texas Tech University Medical Sciences Center, Lubbock, Texas, USA; Covenant Health, Lubbock, Texas, USA.
  • Gabriel Neves
    Department of Neurology, Texas Tech University Medical Sciences Center, Lubbock, Texas, USA. Electronic address: gabriel.neves@ttuhsc.edu.

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