Revista da Associacao Medica Brasileira
Fundus camera and artificial intelligence for diabetic retinopathy screening in a São Paulo shelter
Par Dias JGDS, Andrade GC, Macedo JVTL et 1 autres.
Contenu en anglais
Résumé
Objective
The aim of this study was to evaluate the applicability of a smartphone-based portable fundus camera for diabetic retinopathy screening in elderly residents of a specialized shelter in São Paulo, Brazil, considering image acquisition by non-ophthalmologist professionals and remote case classification.
Methods
Prospective pilot interventional study at the Centro de Acolhida Especial para Idosos Morada São João. Thirty-eight participants (76 eyes) underwent retinal imaging using the Eyer® portable fundus camera (Phelcom Technologies, Brazil) by trained non-ophthalmologist professionals. Images were remotely evaluated by a retinal specialist and compared to the EyerMaps® artificial intelligence system.