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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Bibliografische gegevens

Hoofdauteurs:	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
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Elsevier 2024-07-01
Reeks:	Ophthalmology Science
Onderwerpen:	Artificial intelligence Diabetes Handheld camera Portable Retina
Online toegang:	http://www.sciencedirect.com/science/article/pii/S2666914524000174
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