Optical coherence tomography angiography (OCTA) is a high-resolution, depth-resolved
imaging modality with important applications in ophthalmic practice. An extension of …

Recent advancements in artificial intelligence (AI) herald transformative potentials for
reshaping glaucoma clinical management, improving screening efficacy, sharpening …

Purpose: Correcting retinal nerve fiber layer thickness (RNFLT) artifacts in glaucoma with
deep learning and evaluate its clinical usefulness. Methods: We included 24,257 patients …

Importance Rapid initial optic nerve head capillary density loss may be used to assess the
risk of glaucoma visual field progression. Objective To investigate the association between …

The application of artificial intelligence (AI) in ophthalmology has been increasingly
explored in the past decade. Numerous studies have shown promising results supporting …

Purpose: Our previous study predicted genuine glaucomatous visual field (VF) impairment in
the central 10 VF, excluding the effect of cataract, using visual acuity (VA) and global …

Glaucoma is a group of chronic eye diseases characterized by optic neuropathy, which
causes irreversible vision loss. It is caused by progressive degeneration of the optic nerve …

Background To assess quantitatively the microvascular changes in the retina and choroid of
healthy eyes, eyes of subjects with primary angle-closure glaucoma (PACG), primary open …

AIM To explore the latest application of artificial intelligence (AI) in optical coherence
tomography (OCT) images, and to analyze the current research status of AI in OCT, and …

Purpose To develop deep learning (DL) models estimating the central visual field (VF) from
optical coherence tomography angiography (OCTA) vessel density (VD) measurements …