Assessing the effectiveness of artificial intelligence (AI) in prioritising CT head interpretation: study protocol for a stepped-wedge cluster randomised trial (ACCEPT-AI).

Journal: BMJ open
PMID: 38885990

Abstract

INTRODUCTION: Diagnostic imaging is vital in emergency departments (EDs). Accessibility and reporting impacts ED workflow and patient care. With radiology workforce shortages, reporting capacity is limited, leading to image interpretation delays. Turnaround times for image reporting are an ED bottleneck. Artificial intelligence (AI) algorithms can improve productivity, efficiency and accuracy in diagnostic radiology, contingent on their clinical efficacy. This includes positively impacting patient care and improving clinical workflow. The ACCEPT-AI study will evaluate Qure.ai's qER software in identifying and prioritising patients with critical findings from AI analysis of non-contrast head CT (NCCT) scans.

Authors

  • Kavitha Vimalesvaran
    Imperial College London (J.P.H., C.C.S., G.D.C., K.A., K.V., D.P.F., M.J.S.-S.).
  • Dennis Robert
    Qure.AI, Bangalore, India.
  • Shamie Kumar
    Qure.AI, Bangalore, India.
  • Ayan Kumar
    Qure.AI, Mumbai, India.
  • Mariapola Narbone
    Guy's and St Thomas' Hospitals NHS Trust, London, UK.
  • Rahul Dharmadhikari
    Northumbria Healthcare NHS Foundation Trust, Northumberland, UK.
  • Mark Harrison
    Emergency Department, Northumbria Specialist Emergency Care Hospital, Cramlington, UK.
  • Sarim Ather
    Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
  • Alex Novak
    Emergency Medicine Research Oxford, Oxford University Hospitals NHS Foundation Trust, United Kingdom, Oxford.
  • Mariusz Grzeda
    School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
  • Jane Gooch
    College of Health, Psychology & Social Care, University of Derby, Derby, UK.
  • Nicholas Woznitza
    Radiology Department, University College London Hospitals NHS Foundation Trust, London, UK.
  • Mark Hall
    Radiology Department, Queen Elizabeth University Hospital, Glasgow, Scotland.
  • Haris Shuaib
    Guy's & St Thomas' NHS Foundation Trust, King's College, London, United Kingdom.
  • David J Lowe
    Emergency Department, Queen Elizabeth University Hospital, Glasgow, Scotland.

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