The simultaneous maturation of multiple digital and telecommunications technologies in
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …

Early detection and monitoring are critical to the diagnosis and management of glaucoma, a
progressive optic neuropathy that causes irreversible blindness. Optical coherence …

Purpose We sought to construct and evaluate a deep learning (DL) model to diagnose early
glaucoma from spectral-domain optical coherence tomography (OCT) images. Design …

Purpose To detect macular perfusion defects in glaucoma using projection-resolved optical
coherence tomography (OCT) angiography. Design Prospective observation study …

Because of recent advances in computing technology and the availability of large datasets,
deep learning has risen to the forefront of artificial intelligence, with performances that often …

PURPOSE: To determine the diagnostic performance of macular ganglion cell–inner
plexiform layer (GCIPL) thickness measured with the Cirrus high-definition optical …

Background The ophthalmology field was among the first to adopt artificial intelligence (AI)
in medicine. The availability of digitized ocular images and substantial data have made …

In this study, we aimed to facilitate the current diagnostic assessment of glaucoma by
analyzing multiple features and introducing a new cross-sectional optic nerve head (ONH) …

Glaucoma is a result of irreversible damage to the retinal ganglion cells. While an early
intervention could minimise the risk of vision loss in glaucoma, its asymptomatic nature …

Early diagnosis of glaucoma is critical to prevent permanent structural damage and
irreversible vision loss. Detection of glaucoma typically relies on examination of structural …