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Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke

AIMS: We examine whether inclusion of artificial intelligence (AI)-enabled retinal vasculometry (RV) improves existing risk algorithms for incident stroke, myocardial infarction (MI) and circulatory mortality. METHODS: AI-enabled retinal vessel image analysis processed images from 88 052 UK Biobank...

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Detalles Bibliográficos
Autores principales:	Rudnicka, Alicja Regina, Welikala, Roshan, Barman, Sarah, Foster, Paul J, Luben, Robert, Hayat, Shabina, Khaw, Kay-Tee, Whincup, Peter, Strachan, David, Owen, Christopher G
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BMJ Publishing Group 2022
Materias:	Clinical Science
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685715/ https://www.ncbi.nlm.nih.gov/pubmed/36195457 http://dx.doi.org/10.1136/bjo-2022-321842

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