Prediction of visual impairment in retinitis pigmentosa using deep learning and multimodal fundus images.

Tin Yan Alvin LiuCarlthan LingLeo HahnCraig K JonesCamiel Jf BoonMandeep S Singh

Published in: The British journal of ophthalmology (2022)

Our algorithm showed robust performance in predicting visual impairment in patients with RP, thus providing proof-of-concept for predicting structure-function correlation based solely on cSLO imaging in patients with RP.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
high resolution
diabetic retinopathy
pain management
optical coherence tomography
mass spectrometry