AI-assisted detection for chest X-rays (AID-CXR): a multi-reader multi-case study protocol.

Journal: BMJ open
PMID: 39806695

Abstract

INTRODUCTION: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormalities on CXRs, which may expand diagnostic support to a wider field of health professionals. There is a paucity of evidence on the impact of AI algorithms in assisting healthcare professionals (other than radiologists) who regularly review CXR images in their daily practice.

Authors

  • Farhaan Khan
    Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Indrajeet Das
    University Hospitals of Leicester NHS Trust, Leicester, UK.
  • Marusa Kotnik
    Addenbrooke's Hospital, Cambridge, UK.
  • Louise Wing
    Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Edwin van Beek
    Centre for Cardiovascular Science, Edinburgh Imaging and Neuroscience, University of Edinburgh, UK.
  • John Murchison
    Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Jong Seok Ahn
    Lunit Inc., Seoul, Korea.
  • Sang Hyup Lee
    Department of Urology, Kyung Hee University School of Medicine, Seoul, Korea.
  • Ambika Seth
    Lunit Inc, Gangnam-gu, Seoul, Korea (the Republic of).
  • Abdala Trinidad Espinosa Morgado
    Emergency Medicine Research Oxford, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Howell Fu
    Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Alex Novak
    Emergency Medicine Research Oxford, Oxford University Hospitals NHS Foundation Trust, United Kingdom, Oxford.
  • Nabeeha Salik
    RAIQC Ltd, Oxford, UK.
  • Alan Campbell
    Radiology Department, University College London Hospitals NHS Foundation Trust, London, UK.
  • Ruchir Shah
    Sciome LLC, Research Triangle Park, NC, USA. Electronic address: ruchir.shah@sciome.com.
  • Fergus Gleeson
    Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
  • Sarim Ather
    Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.

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