Convolutional neural network to identify symptomatic Alzheimer’s disease using multimodal retinal imaging

Abstract

Our CNN used multimodal retinal images to successfully predict diagnosis of symptomatic AD in an independent test set. GC-IPL maps were the most useful single inputs for prediction. Models including only images performed similarly to models also including quantitative data and patient data.