Artificial intelligence in retinal imaging for cardiovascular disease prediction: current trends and future directions.

Journal: Current opinion in ophthalmology
Published Date: Jul 19, 2022

Abstract

PURPOSE OF REVIEW: Retinal microvasculature assessment has shown promise to enhance cardiovascular disease (CVD) risk stratification. Integrating artificial intelligence into retinal microvasculature analysis may increase the screening capacity of CVD risks compared with risk score calculation through blood-taking. This review summarizes recent advancements in artificial intelligence based retinal photograph analysis for CVD prediction, and suggests challenges and future prospects for translation into a clinical setting.

Authors

  • Dragon Y L Wong
    Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China.
  • Mary C Lam
  • Anran Ran
    Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong, Hong Kong SAR.
  • Carol Y Cheung
    Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China. Electronic address: carolcheung@cuhk.edu.hk.

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