Diagnostic Accuracy of a Device for the Automated Detection of Diabetic Retinopathy in a Primary Care Setting.

Frank D Verbraak Michael D AbramoffGonny C F BauschCaroline KlaverGiel NijpelsReinier O SchlingemannAmber A W A van der Heijden

Published in: Diabetes care (2019)

The hybrid deep learning-enhanced device had high diagnostic accuracy for the detection of both vtDR (although the number of vtDR cases was low) and mtmDR in a primary care setting against an independent reading center. This allows its' safe use in a primary care setting.

Keyphrases

primary care
diabetic retinopathy
deep learning
general practice
loop mediated isothermal amplification
machine learning
optical coherence tomography
label free
real time pcr
artificial intelligence
working memory
high throughput
convolutional neural network
quantum dots