Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients

Background/aimsHuman grading of digital images from diabetic retinopathy (DR) screening programmes represents a significant challenge, due to the increasing prevalence of diabetes. We evaluate the performance of an automated artificial intelligence (AI) algorithm to triage retinal images from the En...

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Vydané v:	British journal of ophthalmology Ročník 105; číslo 5; s. 723 - 728
Hlavní autori:	Heydon, Peter, Egan, Catherine, Bolter, Louis, Chambers, Ryan, Anderson, John, Aldington, Steve, Stratton, Irene M, Scanlon, Peter Henry, Webster, Laura, Mann, Samantha, du Chemin, Alain, Owen, Christopher G, Tufail, Adnan, Rudnicka, Alicja Regina
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England BMJ Publishing Group LTD 01.05.2021 BMJ Publishing Group
Predmet:	Algorithms Artificial intelligence Automation Clinical Science Cost analysis Diabetes Diabetic retinopathy Epidemiology Machine learning Medical diagnosis Patient care planning Public health Software upgrading Telemedicine United Kingdom > UK Treatment Medical Clinical Trial Telemedicine Imaging Diagnostic tests/Investigation Retina Degeneration Medical Education Epidemiology Public health
ISSN:	0007-1161, 1468-2079, 1468-2079
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