Advancing healthcare with artificial intelligence: diagnostic accuracy of machine learning algorithm in diagnosis of diabetic retinopathy in the Brazilian population

Augusto dos Reis, Mateus; A. Künas, Cristiano; da Silva Araújo, Thiago; Schneiders, Josiane; Baptista de Azevedo, Pietro; Filipe Nakayama, Luis; Rucks Varvaki Rados, Dimitris; Nunes Umpierre, Roberto; Berwanger, Otávio; Lavinsky, Daniel; Korn Malerbi, Fernando; O. A. Navaux, Philippe; D. Schaan, Beatriz

doi:10.1186/s13098-024-01447-0

Public

Advancing healthcare with artificial intelligence: diagnostic accuracy of machine learning algorithm in diagnosis of diabetic retinopathy in the Brazilian population

Published in Diabetology & Metabolic Syndrome • Aug 29, 2024

Authors:

Mateus Augusto dos Reis

Cristiano A. Künas

Thiago da Silva Araújo

Abstract

BACKGROUND: In healthcare systems in general, access to diabetic retinopathy (DR) screening is limited. Artificial intelligence has the potential to increase care delivery. Therefore, we trained and evaluated the diagnostic accuracy of a machine learning algorithm for automated detection of DR. METH...

Subject

Medicine

Diabetic retinopathy

Artificial intelligence

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