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

A large database showed that this deep learning algorithm was accurate in detecting referable DR. This finding aids to universal healthcare systems like Brazil, optimizing screening processes and can serve as a tool for improving DR screening, making it more agile and expanding care access.

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Publication Details

Journal
Diabetology & Metabolic Syndrome
Published
2024-08-29
DOI
https://doi.org/10.1186/s13098-024-01447-0
Citations
5
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
2.02

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article

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

Roberto Nunes Umpierre, Cristiano A. Künas, Josiane Schneiders, Otávio Berwanger et al.
5 citations
Diabetology & Metabolic Syndrome
Retinal Imaging and Analysis
2.02
article

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

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

Abstract

A large database showed that this deep learning algorithm was accurate in detecting referable DR. This finding aids to universal healthcare systems like Brazil, optimizing screening processes and can serve as a tool for improving DR screening, making it more agile and expanding care access.

Diabetology & Metabolic SyndromeVol. 16(1)
Conselho Nacional de Desenvolvimento Científico e Tecnológico (BR), Universidade Federal do Rio Grande do Sul (BR), Universidade Feevale (BR), The George Institute for Global Health (GB), Hospital de Clínicas de Porto Alegre (BR), Imperial College London (GB), Massachusetts Institute of Technology (US), Universidade Federal de São Paulo (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Hospital de Clínicas de Porto Alegre, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul, Universidade Federal do Rio Grande do Sul, Fundação Instituto de Pesquisas Econômicas, Fakultet Medicinskih Nauka, Univerziteta U Kragujevcu
Openalex Percentile: Top 13%
Retinal Imaging and Analysis
2.02
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