Synchronous Diagnosis of Diabetic Retinopathy by a Handheld Retinal Camera, Artificial Intelligence, and Simultaneous Specialist Confirmation.

Journal: Ophthalmology. Retina
Published Date: May 14, 2024

Abstract

PURPOSE: Diabetic retinopathy (DR) is a leading cause of preventable blindness, particularly in underserved regions where access to ophthalmic care is limited. This study presents a proof of concept for utilizing a portable handheld retinal camera with an embedded artificial intelligence (AI) platform, complemented by a synchronous remote confirmation by retina specialists, for DR screening in an underserved rural area.

Authors

  • Gustavo Barreto Melo
    Department of Ophthalmology, Federal University of São Paulo, São Paulo-SP, Brazil; Hospital de Olhos de Sergipe, Aracaju-SE, Brazil; Retina Clinic, São Paulo-SP, Brazil. Electronic address: gustavobmelo@yahoo.com.br.
  • Luis Filipe Nakayama
    São Paulo Federal University, São Paulo, SP, Brazil nakayama.luis@gmail.com.
  • Viviane Santos Cardoso
    Hospital de Olhos de Sergipe, Aracaju-SE, Brazil.
  • Lucas Andrade Dos Santos
    Department of Medicine, Federal University of Sergipe, Lagarto-SE, Brazil.
  • Fernando Korn Malerbi
    Universidade Federal de São Paulo, Departamento de Oftalmologia e Ciências Visuais, - São Paulo (SP), Brazil.

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