Automated Identification of Different Severity Levels of Diabetic Retinopathy Using a Handheld Fundus Camera and Single-Image Protocol

Purpose: To evaluate the performance of artificial intelligence (AI) systems embedded in a mobile, handheld retinal camera, with a single retinal image protocol, in detecting both diabetic retinopathy (DR) and more-than-mild diabetic retinopathy (mtmDR). Design: Multicenter cross-sectional diagnosti...

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Principais autores:	Fernando K. Malerbi, MD, PhD, Luis Filipe Nakayama, MD, Gustavo Barreto Melo, MD, PhD, José A. Stuchi, MSC, PhD, Diego Lencione, MSC, Paulo V. Prado, MSC, Lucas Z. Ribeiro, MD, Sergio A. Dib, MD, PhD, Caio V. Regatieri, MD, PhD
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2024-07-01
Series:	Ophthalmology Science
Assuntos:	Artificial intelligence Diabetes Handheld camera Portable Retina
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S2666914524000174
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