Prediction of corneal back surface power - Deep learning algorithm versus multivariate regression.

Achim Langenbucher Nóra SzentmáryAlan CaylessJohannes WeisenseeJascha A WendelsteinPeter Hoffmann

Published in: Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) (2021)

The neural network approach based on CFSPM vector components and other biometric measures outperforms the multivariate linear model in predicting corneal back surface power vector components. Modern biometers can supply all parameters required for this algorithm, enabling reliable predictions for corneal back surface data where direct corneal back surface data are unavailable.

Keyphrases

neural network
deep learning
optical coherence tomography
machine learning
wound healing
data analysis
electronic health record
big data
cataract surgery
convolutional neural network