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Single retinal image for diabetic retinopathy screening: performance of a handheld device with embedded artificial intelligence

Abstract Background Diabetic retinopathy (DR) is a leading cause of blindness. Our objective was to evaluate the performance of an artificial intelligence (AI) system integrated into a handheld smartphone-based retinal camera for DR screening using a single retinal image per eye. Methods Images were...

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Principais autores: Fernando Marcondes Penha, Bruna Milene Priotto, Francini Hennig, Bernardo Przysiezny, Bruno Antunes Wiethorn, Julia Orsi, Isabelle Beatriz Freccia Nagel, Brenda Wiggers, Jose Augusto Stuchi, Diego Lencione, Paulo Victor de Souza Prado, Fernando Yamanaka, Fernando Lojudice, Fernando Korn Malerbi
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2023-07-01
coleção:International Journal of Retina and Vitreous
Assuntos:
Diabetes
Diabetic retinopathy
Handheld camera
Single image
Artificial intelligence
Acesso em linha:https://doi.org/10.1186/s40942-023-00477-6
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