Regulatory approval of the first two therapeutic substances for the management of
geographic atrophy (GA) secondary to age-related macular degeneration (AMD) is a major …

Age-related macular degeneration (AMD) remains a disease with high morbidity and an
incompletely understood pathophysiological mechanism. The ocular blood supply has been …

Real-world retinal optical coherence tomography (OCT) scans are available in abundance
in primary and secondary eye care centres. They contain a wealth of information to be …

In patients with age-related macular degeneration (AMD), the risk of progression to late
stages is highly heterogeneous, and the prognostic imaging biomarkers remain unclear. We …

There is a need to identify accurately prognostic factors that determine the progression of
intermediate to late-stage age-related macular degeneration (AMD). Currently, clinicians …

To examine the morphological impact of deep learning (DL)-quantified biomarkers on point-
wise sensitivity (PWS) using microperimetry (MP) and optical coherence tomography (OCT) …

Self-supervised learning (SSL) has emerged as a powerful technique for improving the
efficiency and effectiveness of deep learning models. Contrastive methods are a prominent …

Purpose We introduce a deep learning–based biomarker proposal system for the purpose of
accelerating biomarker discovery in age-related macular degeneration (AMD). Design …

Purpose: The purpose of this study was to develop a deep learning algorithm for detecting
and quantifying incomplete retinal pigment epithelium and outer retinal atrophy (iRORA) and …

Retinal degenerative diseases such as age-related macular degeneration (AMD) represent
a leading cause of blindness, resulting in permanent damage to retinal cells that are …