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Risk Factors for Nondiagnostic Imaging in a Real-World Deployment of Artificial Intelligence Diabetic Retinal Examinations in an Integrated Health care System: Maximizing Workflow Efficiency Through Predictive Dilation.

Benjamin L ShouKesavan VenkateshChang ChenRonel GhideyJae Hyoung LeeJiangxia WangRoomasa ChannaRisa M WolfMichael D AbramoffT Y Alvin Liu
Published in: Journal of diabetes science and technology (2023)
. This new workflow has the potential to be more efficient than reflexive dilation, thus maximizing the number of at-risk patients receiving their diabetic retinal examinations.
Keyphrases
  • artificial intelligence
  • optical coherence tomography
  • diabetic retinopathy
  • machine learning
  • big data
  • type diabetes
  • deep learning
  • wound healing
  • electronic health record
  • optic nerve
  • high resolution
  • climate change