Artificial intelligence for morphology-based function prediction in neovascular age-related macular degeneration

Abstract

dB [2.62, 3.08]. The most important predictive feature was outer nuclear layer thickness. This artificial intelligence-based analysis strategy, termed “inferred sensitivity”, herein, enables to estimate differential effects of retinal structural abnormalities on cone- and rod-function in nAMD, and may be used as quasi-functional surrogate endpoint in future clinical trials.

Publication
Sci Rep