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Retinal imaging for the assessment of stroke risk: a systematic review.

Zain GirachArni SarianCynthia Maldonado-GarcíaNishant RavikumarPanagiotis I SergouniotisPeter M RothwellAlejandro F FrangiThomas Henry Julian
Published in: Journal of neurology (2024)
Whilst there is strong evidence that retinal imaging features can be used to indicate stroke risk, there is currently no predictive model which significantly outperforms conventional risk scores. To develop clinically useful tools, future research should focus on utilization of deep learning algorithms, validation in external cohorts, and analysis of OCT images.
Keyphrases
  • deep learning
  • optical coherence tomography
  • diabetic retinopathy
  • high resolution
  • atrial fibrillation
  • convolutional neural network
  • brain injury
  • blood brain barrier
  • subarachnoid hemorrhage
  • fluorescence imaging