Artificial intelligence for diabetic retinopathy screening, prediction and management.

Journal: Current opinion in ophthalmology
Published Date: Sep 1, 2020

Abstract

PURPOSE OF REVIEW: Diabetic retinopathy is the most common specific complication of diabetes mellitus. Traditional care for patients with diabetes and diabetic retinopathy is fragmented, uncoordinated and delivered in a piecemeal nature, often in the most expensive and high-resource tertiary settings. Transformative new models incorporating digital technology are needed to address these gaps in clinical care.

Authors

  • Dinesh V Gunasekeran
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Daniel S W Ting
    Singapore National Eye Center, Duke-National University of Singapore Medical School, Singapore 168751, Singapore; National Institutes of Health Research Biomedical Research Centre Biomedical Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK. Electronic address: daniel.ting.s.w@singhealth.com.sg.
  • Gavin S W Tan
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, Singapore.
  • Tien Y Wong
    Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.

Keywords

External Resources

Popular Topics
Recent Journals