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

Internet

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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