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

Purpose:(1) To assess the performance of geometric deep learning in diagnosing glaucoma
from a single optical coherence tomography (OCT) scan of the optic nerve head and (2) to …

Background The application of Artificial Intelligence (AI) in diagnosing retinal diseases
represents a significant advancement in ophthalmological research, with the potential to …

Background and Objectives The distinction of papilledema from other optic nerve head
(ONH) lesions mimicking papilledema, such as optic disc drusen (ODD), can be difficult in …

Artificial intelligence (AI) has been approved for biomedical research in diverse areas from
bedside clinical studies to benchtop basic scientific research. For ophthalmic research, in …

Here, we examine the latest advances in glaucoma detection through Deep Learning (DL)
algorithms using Preferred Reporting Items for Systematic Reviews and Meta-Analyses …

Optic nerve head (ONH) biomechanics are associated with glaucoma progression and have
received considerable attention. Central retinal vessels (CRVs) oriented asymmetrically in …

Intraocular pressure (IOP) fluctuation is an independent risk factor for glaucoma and a key to
clarify its pathogenesis. We have developed a contact lens integrated with a conformal LC …

Purpose: Elevated intraocular pressure (IOP) is thought to cause lamina cribrosa (LC) blood
vessel distortions and potentially collapse, adversely affecting LC hemodynamics, reducing …

Purpose:(1) To develop a deep learning algorithm to identify major tissue structures of the
optic nerve head (ONH) in 3D optical coherence tomography (OCT) scans;(2) to exploit such …