Purpose In assessing the severity of age-related macular degeneration (AMD), the Age-
Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of …

Purpose Age-related macular degeneration (AMD) is a common threat to vision. While
classification of disease stages is critical to understanding disease risk and progression …

Importance Age-related macular degeneration (AMD) affects millions of people throughout
the world. The intermediate stage may go undetected, as it typically is asymptomatic …

Importance Although deep learning (DL) can identify the intermediate or advanced stages of
age-related macular degeneration (AMD) as a binary yes or no, stratified gradings using the …

By 2040, age-related macular degeneration (AMD) will affect~ 288 million people
worldwide. Identifying individuals at high risk of progression to late AMD, the sight …

Importance Detection of early onset neovascular age‐related macular degeneration (AMD)
is critical to protecting vision. Background To describe the development and validation of a …

Both genetic and environmental factors influence the etiology of age-related macular
degeneration (AMD), a leading cause of blindness. AMD severity is primarily measured by …

Background When left untreated, age-related macular degeneration (AMD) is the leading
cause of vision loss in people over fifty in the US. Currently it is estimated that about eight …

Background and Objective. To determine if using a multi‐input deep learning approach in
the image analysis of optical coherence tomography (OCT), OCT angiography (OCT‐A), and …

Background Age-related macular degeneration (AMD) is one of the leading causes of vision
loss in the elderly population. The application of artificial intelligence (AI) provides …