The study aims to evaluate the Automated Vision Assessment and Impairment Detection through Gaze Analysis (AVIGA) system in the ability to detect and assess central vision dysfunction in a personalized, adaptive, objective, and automated way through eye gaze tracking in age-related macular degeneration (AMD). We also aim to develop a novel algorithm / scoring methodology for disease activity monitoring over time (delta-change). AVIGA visual risk prediction cut-off scores will be presented together with probabilities of occurrence of prespecified adverse clinical outcome.
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Correlation between AVIGA and standard clincial measures for detecting AMD activity
Timeframe: 1 year