Diabetic Retinopathy Screening Using Artificial Intelligence and Handheld Smartphone-Based Retinal Camera.

Fernando Korn MalerbiRafael Ernane AndradePaulo Henrique MoralesJosé Augusto StuchiDiego LencioneJean Vitor de PauloMayana Pereira CarvalhoFabrícia Silva NunesRoseanne Montargil RochaDaniel A FerrazRubens Belfort

Published in: Journal of diabetes science and technology (2021)

The DL algorithm reached a good diagnostic accuracy for more than mild DR in a real-world, high burden setting. The performance of the handheld portable retinal camera was adequate, with over 80% of individuals presenting with images of sufficient quality. Portable devices and artificial intelligence tools may increase coverage of DR screening programs.

Keyphrases

artificial intelligence
diabetic retinopathy
deep learning
optical coherence tomography
convolutional neural network
machine learning
big data
editorial comment
high speed
public health
low cost
case report
optic nerve
health insurance