Predicting the intereye asymmetry in functional and structural damage in glaucoma using automated pupillography.

Harsha Laxmana RaoSujatha V KadambiSrilakshmi DasariHemanth B ReddyMeena PalakurthyMohammed RiyazuddinNarendra K PuttaiahZia S PradhanDhanaraj A S RaoRohit Shetty

Published in: Acta ophthalmologica (2016)

Intereye asymmetry in MD, RNFL and GCC thickness measurements was best predicted by the intereye difference in Ac per cent on automated pupillography. The predicting ability was better in patients with angle closure compared to those with open angles.

Keyphrases

deep learning
machine learning
high throughput
minimally invasive
oxidative stress
high resolution
optical coherence tomography
molecular dynamics
single cell