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Digital solution for detection of undiagnosed diabetes using machine learning-based retinal image analysis.

Benny Chung-Ying ZeeJack LeeMaria LaiPeter CheeJames RaffertyRebecca ThomasDavid Owens
Published in: BMJ open diabetes research & care (2022)
A digital machine learning-based method to estimate the risk of diabetes based on retinal images has been developed and validated using both Asian and Caucasian data. Retinal image analysis is a fast, convenient, and non-invasive technique for community health applications. In addition, it is an ideal solution for undiagnosed diabetes prescreening.
Keyphrases
  • optical coherence tomography
  • type diabetes
  • diabetic retinopathy
  • cardiovascular disease
  • machine learning
  • glycemic control
  • optic nerve
  • deep learning
  • big data
  • artificial intelligence
  • convolutional neural network