@article{880fccb75cd046e0a7e2c2927534c6eb,
title = "Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke",
keywords = "Cardiovascular medicine",
author = "Rudnicka, \{Alicja Regina\} and Roshan Welikala and Sarah Barman and Foster, \{Paul J\} and Robert Luben and Shabina Hayat and Kay-Tee Khaw and Peter Whincup and David Strachan and Owen, \{Christopher G\}",
note = "Note: This work was supported by the Medical Research Council Population and Systems Medicine Board (MR/L02005X/1), British Heart Foundation (PG/15/101/31889), Richard Desmond Charitable Trust (via Fight for Sight, Department for Health through the award made by the National Institute for Health Research to Moorfields Eye Hospital and the UCL Institute of Ophthalmology for a Biomedical Research Centre, Medical Research Council, UK (Ref: MR/N003284/1), Cancer Research UK (CRUK, Ref: C864/A8257), and Research into Aging, now known as Age UK (Grant Ref: 262).",
year = "2022",
month = nov,
day = "22",
doi = "10.1136/bjo-2022-321842",
language = "English",
volume = "106",
pages = "1722--1729",
journal = "British Journal of Ophthalmology",
issn = "0007-1161",
publisher = "BMJ Publishing Group",
}