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Clinical validation of a smartphone-based retinal camera for diabetic retinopathy screening.

Juliana Angélica Estevão OliveiraLuis Filipe NakayamaLucas Zago RibeiroTalita Virgínia Fernandes de OliveiraStefano Neto Jai Hyun ChoiEdgar Menezes NetoViviane Santos CardosoSergio Atala DibGustavo Barreto MeloCaio Vinicius Saito RegatieriFernando Korn Malerbi
Published in: Acta diabetologica (2023)
Our study shows that the handheld retinal camera Eyer performed comparably to standard tabletop fundus cameras for diabetic retinopathy and macular edema screening. The high agreement with tabletop devices, portability, and low costs makes the handheld retinal camera a promising tool for increasing coverage of diabetic retinopathy screening programs, particularly in low-income countries. Early diagnosis and treatment have the potential to prevent avoidable blindness, and the present validation study brings evidence that supports its contribution to diabetic retinopathy early diagnosis and treatment.
Keyphrases
  • diabetic retinopathy
  • optical coherence tomography
  • high speed
  • convolutional neural network
  • machine learning
  • low cost