Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study.

Journal: The Lancet. Digital health
PMID:

Abstract

BACKGROUND: Histopathological examination is a crucial step in the diagnosis and treatment of many major diseases. Aiming to facilitate diagnostic decision making and improve the workload of pathologists, we developed an artificial intelligence (AI)-based prescreening tool that analyses whole-slide images (WSIs) of large-bowel biopsies to identify typical, non-neoplastic, and neoplastic biopsies.

Authors

  • Mohsin Bilal
    Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK.
  • Yee Wah Tsang
    Department of Pathology, University Hospitals Coventry and Warwickshire, Coventry, UK.
  • Mahmoud Ali
    Department of Pathology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Simon Graham
    Mathematics for Real World Systems Centre for Doctoral Training, University of Warwick, Coventry, CV4 7AL, UK; Department of Computer Science, University of Warwick, UK. Electronic address: s.graham.1@warwick.ac.uk.
  • Emily Hero
    Histopathology, University Hospital Coventry and Warwickshire, Coventry, UK.
  • Noorul Wahab
    Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences Islamabad, Pakistan.
  • Katherine Dodd
    Histopathology, University Hospital Coventry and Warwickshire, Coventry, UK.
  • Harvir Sahota
    Histopathology, University Hospital Coventry and Warwickshire, Coventry, UK.
  • Shaobin Wu
    Department of Pathology, East Suffolk and North Essex NHS Foundation Trust, Colchester, UK.
  • Wenqi Lu
    Tissue Image Analytics Centre, University of Warwick, Coventry, UK.
  • Mostafa Jahanifar
  • Andrew Robinson
    Department of Microbiology and Immunology, School of Medicine, University of North Carolina at Chapel Hill, North Carolina, 27599, USA.
  • Ayesha Azam
    Department of Computer Science, University of Warwick, UK; University Hospitals Coventry and Warwickshire, Coventry, UK.
  • Ksenija Benes
    Department of Pathology, University Hospitals Coventry & Warwickshire NHS Trust, Walsgrave, Coventry, CV2 2DX, UK.
  • Mohammed Nimir
    Department of Pathology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Katherine Hewitt
    Department of Pathology, University Hospitals Coventry & Warwickshire NHS Trust, Walsgrave, Coventry, CV2 2DX, UK.
  • Abhir Bhalerao
    Tissue Image Analytics Centre, University of Warwick, Coventry, UK.
  • Hesham Eldaly
    Histopathology, University Hospital Coventry and Warwickshire, Coventry, UK.
  • Shan E Ahmed Raza
    Division of Molecular Pathology, The Institute of Cancer Research, UK; Department of Computer Science, University of Warwick, UK; Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK. Electronic address: shan.raza@icr.ac.uk.
  • Kishore Gopalakrishnan
    Histopathology, University Hospital Coventry and Warwickshire, Coventry, UK.
  • Fayyaz Minhas
    Department of Computer Science, University of Warwick, Coventry, UK.
  • David Snead
    Department of Pathology, University Hospitals Coventry and Warwickshire, Coventry, UK.
  • Nasir Rajpoot
    Department of Computer Science, University of Warwick, Coventry, UK.