Association between deep learning measured retinal vessel calibre and incident myocardial infarction in a retrospective cohort from the UK Biobank.

Journal: BMJ open
PMID: 38514140

Abstract

BACKGROUND: Cardiovascular disease is a leading cause of global death. Prospective population-based studies have found that changes in retinal microvasculature are associated with the development of coronary artery disease. Recently, artificial intelligence deep learning (DL) algorithms have been developed for the fully automated assessment of retinal vessel calibres.

Authors

  • Yiu Lun Wong
    Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, Hong Kong.
  • Marco Yu
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Crystal Chong
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • Dawei Yang
    Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital Fudan University, Shanghai, China.
  • Dejiang Xu
    School of Computing, National University of Singapore, Singapore.
  • Mong Li Lee
    School of Computing, National University of Singapore.
  • Wynne Hsu
    School of Computing, National University of Singapore.
  • Tien Y Wong
    Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Chingyu Cheng
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
  • 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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