Major advances in diagnostic technologies are offering unprecedented insight into the
condition of the retina and beyond ocular disease. Digital images providing millions of …

Neovascular age-related macular degeneration (AMD) has undergone substantial break-
throughs in diagnostic as well as therapeutic respect, with optical coherence tomography …

Diabetic retinopathy (DR) has long been recognized as a microvasculopathy, but retinal
diabetic neuropathy (RDN), characterized by inner retinal neurodegeneration, also occurs in …

Since 1875, controversy has ensued over whether ocular diabetic complications are
primarily vasculopathic or neuropathic in nature. Here, we discuss the historical context by …

Ophthalmology is one of the major imaging-intensive fields of medicine and thus has
potential for extensive applications of artificial intelligence (AI) to advance diagnosis, drug …

With the advent of spectral-domain optical coherence tomography, imaging of the posterior
segment of the eye can be carried out rapidly at multiple anatomical locations, including the …

Abstract The Early Treatment Diabetic Retinopathy Study (ETDRS) and other standardized
classification schemes have laid a foundation for tremendous advances in the …

We developed a deep learning architecture based on Inception V3 to predict visual field
using optical coherence tomography (OCT) imaging and evaluated its performance. Two …

The term glaucoma refers to a group of heterogeneous diseases that cause the
degeneration of retinal ganglion cells (RGCs). The degeneration of RGCs leads to two main …

Purpose: To develop an artificial intelligence (AI)–based structure-function (SF) map relating
retinal nerve fiber layer (RNFL) damage on spectral domain optical coherence tomography …