Real-world evaluation of RetCAD deep-learning system for the detection of referable diabetic retinopathy and age-related macular degeneration.

Journal: Clinical & experimental optometry
Published Date:

Abstract

CLINICAL RELEVANCE: The challenges of establishing retinal screening programs in rural settings may be mitigated by the emergence of deep-learning systems for early disease detection.

Authors

  • Joshua R Taylor
    Lions Outback Vision, Lions Eye Institute, Nedlands, Western Australia, Australia.
  • Jocelyn Drinkwater
    Centre for Ophthalmology and Visual Science, University of Western Australia, Crawley, Western Australia, Australia.
  • David Cordeiro Sousa
    Vitreoretinal Unit, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.
  • Vaibhav Shah
    Institute of Biomedical Engineering, Faculty of Medicine, University of Montreal, Canada; Research Center of the Sainte-Justine University Hospital (CRCHUSJ), Canada. Electronic address: Vaibhav.shah@umontreal.ca.
  • Angus W Turner
    Lions Outback Vision, Lions Eye Institute, Nedlands, Western Australia, Australia; University of Western Australia, Perth, Western Australia, Australia.