Barriers and Enablers Influencing the Implementation of Artificial Intelligence for Diabetic Retinopathy Screening in Clinical Practice: A Scoping Review.

Journal: Clinical & experimental ophthalmology
Published Date: Jun 14, 2025

Abstract

BACKGROUND: Diabetic retinopathy is a leading cause of preventable blindness worldwide. Meanwhile, artificial intelligence is rapidly growing in clinical utility within medicine. This scoping review aims to identify and summarise existing literature on the barriers and enablers of clinical applications of artificial intelligence systems for the screening of diabetic retinopathy.

Authors

  • Jenny Tran
    Deep Medicine, Oxford Martin School, Oxford, United Kingdom.
  • Jose J Estevez
    Department of Ophthalmology, Flinders Centre for Ophthalmology, Eye and Vision Research, Flinders University, Adelaide, Australia.
  • Natasha J Howard
    South Australian Health and Medical Research Institute, Adelaide, Australia.
  • Saravana Kumar
    UniSA Allied Health and Human Performance, University of South Australia, Adelaide, Australia.

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