Deep-learning retinal vessel calibre measurements and risk of cognitive decline and dementia.

ABSTRACT: Previous studies have explored the associations of retinal vessel calibre, measured from retinal photographs or fundus images using semi-automated computer programs, with cognitive impairment and dementia, supporting the concept that retinal blood vessels reflect microvascular changes in the brain. Recently, artificial intelligence deep-learning algorithms have been developed for the fully automated assessment of retinal vessel calibres. Therefore, we aimed to determine whether deep-learning-based retinal vessel calibre measurements are predictive of risk of cognitive decline and dementia. We conducted a prospective study recruiting participants from memory clinics at the National University Hospital and St. Luke's Hospital in Singapore; all participants had comprehensive clinical and neur

SUBMITTER: Cheung CY 

PROVIDER: S-EPMC9416061 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature