Validation of an artificial intelligence solution for acute triage and rule-out normal of non-contrast CT head scans.

Journal: Neuroradiology
Published Date:

Abstract

PURPOSE: Non-contrast CT head scans provide rapid and accurate diagnosis of acute head injury; however, increased utilisation of CT head scans makes it difficult to prioritise acutely unwell patients and places pressure on busy emergency departments (EDs). This study validates an AI algorithm to triage patients presenting with Intracranial Haemorrhage (ICH) or Acute Infarct whilst also identifying a subset of patients as Normal, with the potential to function as a rule-out test.

Authors

  • Tom Dyer
    Behold.ai, 180 Borough high St, London, SE1 1LB, UK. tomd@behold.ai.
  • Sanjiv Chawda
    Department of Radiology, Barking, Havering and Redbridge University Hospitals NHS Trust, Romford, RM7 0AG, UK.
  • Raed Alkilani
    Department of Radiology, Barking, Havering and Redbridge University Hospitals NHS Trust, Romford, RM7 0AG, UK.
  • Tom Naunton Morgan
    Behold.ai, 180 Borough high St, London, SE1 1LB, UK.
  • Mike Hughes
    Behold.ai, 180 Borough high St, London, SE1 1LB, UK.
  • Simon Rasalingham
    Behold.ai, 180 Borough high St, London, SE1 1LB, UK.