Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients.

Journal: The British journal of ophthalmology
Published Date: Jun 30, 2020

Abstract

BACKGROUND/AIMS: Human grading of digital images from diabetic retinopathy (DR) screening programmes represents a significant challenge, due to the increasing prevalence of diabetes. We evaluate the performance of an automated artificial intelligence (AI) algorithm to triage retinal images from the English Diabetic Eye Screening Programme (DESP) into test-positive/technical failure versus test-negative, using human grading following a standard national protocol as the reference standard.

Authors

  • Peter Heydon
    Moorfields Biomedical Research Centre, Moorfields Eye Hospital, London, UK.
  • Catherine Egan
    NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, UK.
  • Louis Bolter
    Diabetes, Homerton University Hospital NHS Foundation Trust, London, UK.
  • Ryan Chambers
    Diabetes, Homerton University Hospital NHS Foundation Trust, London, UK.
  • John Anderson
    Kimel Family Translational Imaging Genetics Research Laboratory, The Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada.
  • Steve Aldington
    Gloucestershire Hospitals NHS Foundation Trust, Cheltenham, UK.
  • Irene M Stratton
    Gloucestershire Hospitals NHS Foundation Trust, Cheltenham, UK.
  • Peter Henry Scanlon
    Gloucestershire Hospitals NHS Foundation Trust, Cheltenham, UK.
  • Laura Webster
    Guy's and Saint Thomas' NHS Foundation Trust, London, UK.
  • Samantha Mann
    Guy's and Saint Thomas' NHS Foundation Trust, London, UK.
  • Alain du Chemin
    Guy's and Saint Thomas' NHS Foundation Trust, London, UK.
  • Christopher G Owen
    Population Health Research Institute, St George's, University of London, London, UK.
  • Adnan Tufail
    London, United Kingdom. Electronic address: Adnan.Tufail@moorfields.nhs.uk.
  • Alicja Regina Rudnicka
    Population Health Research Institute, St George's, University of London, London, UK arudnick@sgul.ac.uk.

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