Patient and practitioner perceptions around use of artificial intelligence within the English NHS diabetic eye screening programme.

Journal: Diabetes research and clinical practice
PMID:

Abstract

AIMS: Automated retinal image analysis using Artificial Intelligence (AI) can detect diabetic retinopathy as accurately as human graders, but it is not yet licensed in the NHS Diabetic Eye Screening Programme (DESP) in England. This study aims to assess perceptions of People Living with Diabetes (PLD) and Healthcare Practitioners (HCP) towards AI's introduction in DESP.

Authors

  • Charlotte Wahlich
    Population Health Research Institute, St George's School of Health and Medical Sciences, City St George's, University of London, London, UK. Electronic address: cwahlich@sgul.ac.uk.
  • Lakshmi Chandrasekaran
    St George's School of Health and Medical Sciences, Population Health Research Institute, City St George's University of London, London, United Kingdom.
  • Umar A R Chaudhry
    Population Health Research Institute, St George's School of Health and Medical Sciences, City St George's, University of London, London, UK.
  • Kathryn Willis
    Population Health Research Institute, St George's School of Health and Medical Sciences, City St George's, University of London, London, UK.
  • Ryan Chambers
    Diabetes, Homerton University Hospital NHS Foundation Trust, London, UK.
  • Louis Bolter
    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.
  • Royce Shakespeare
    Population Health Research Institute, St George's School of Health and Medical Sciences, City St George's, University of London, London, UK.
  • Abraham Olvera-Barrios
    Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UK a.olvera@nhs.net.
  • Jiri Fajtl
    School of Computer Science and Mathematics, Kingston University, London, UK.
  • Roshan Welikala
    School of Computer Science and Mathematics, Kingston University, London, UK.
  • Sarah Barman
    School of Computer Science and Mathematics, Kingston University, London, UK.
  • Catherine A Egan
    Moorfields Eye Hospital National Health Service Foundation Trust, London, United Kingdom.
  • Adnan Tufail
    London, United Kingdom. Electronic address: Adnan.Tufail@moorfields.nhs.uk.
  • Christopher G Owen
    Population Health Research Institute, St George's, University of London, London, UK.
  • Alicja R Rudnicka
    Population Health Research Institute, St George's School of Health and Medical Sciences, City St George's, University of London, London, UK.