Implementation of A New, Mobile Diabetic Retinopathy Screening Model Incorporating Artificial Intelligence in Remote Western Australia.

Journal: The Australian journal of rural health
PMID: 40110918

Abstract

OBJECTIVE: Diabetic retinopathy (DR) screening rates are poor in remote Western Australia where communities rely on outdated primary care-based retinal cameras. Deep learning systems (DLS) may improve access to screening, however, require validation in real-world settings. This study describes and evaluates the implementation of a new, mobile DR screening model that incorporates artificial intelligence (AI) into routine care.

Authors

  • Qiang Li
    Department of Dermatology, Air Force Medical Center, PLA, Beijing, People's Republic of China.
  • Jocelyn J Drinkwater
    Lions Eye Institute, Lions Outback Vision, Nedlands, Western Australia, Australia.
  • Kerry Woods
    Lions Eye Institute, Lions Outback Vision, Nedlands, Western Australia, Australia.
  • Emma Douglas
    Lions Eye Institute, Lions Outback Vision, Nedlands, Western Australia, Australia.
  • Alex Ramirez
    Lions Eye Institute, Lions Outback Vision, Nedlands, Western Australia, Australia.
  • Angus W Turner
    Lions Outback Vision, Lions Eye Institute, Nedlands, Western Australia, Australia; University of Western Australia, Perth, Western Australia, Australia.

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