Improving diabetic retinopathy screening using artificial intelligence: design, evaluation and before-and-after study of a custom development

BackgroundThe worst outcomes of diabetic retinopathy (DR) can be prevented by implementing DR screening programs assisted by AI. At the University Hospital of Navarre (HUN), Spain, general practitioners (GPs) grade fundus images in an ongoing DR screening program, referring to a second screening lev...

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Bibliographic Details

Published in:	Frontiers in Digital Health
Main Authors:	Imanol Pinto, Álvaro Olazarán, David Jurío, Borja De la Osa, Miguel Sainz, Aritz Oscoz, Jerónimo Ballaz, Javier Gorricho, Mikel Galar, José Andonegui
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-06-01
Subjects:	diabetic retinopathy AI medical device decision-support system deep learning before-and-after study
Online Access:	https://www.frontiersin.org/articles/10.3389/fdgth.2025.1547045/full