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 …

Purpose Determine how procedural treatments for glaucoma have changed between 1994–
2012. Design Retrospective, observational analysis. Participants Medicare Part B …

Purpose To develop and evaluate a deep learning system for differentiating between eyes
with and without glaucomatous visual field damage (GVFD) and predicting the severity of …

Importance Spectral-domain optical coherence tomography (SD-OCT) has an integral role in
the diagnosis and treatment of glaucoma. Understanding the types of artifacts commonly …

Importance Previous studies using data from the 1980s found relatively little geographic
variation in cataract surgery rates across the United States. We do not know whether similar …

Objective To describe what information is or is not included in health care claims data,
provide an overview of the main advantages and limitations of performing analyses using …

Purpose To develop deep learning (DL) systems estimating visual function from macula-
centered spectral-domain (SD) OCT images. Design Evaluation of a diagnostic technology …

Spectral‐domain OCT is an established tool to assist clinicians in detecting glaucoma and
monitor disease progression. The widespread use of this imaging modality is due, at least in …

Large population-based health administrative databases, clinical registries, and data
linkage systems are a rapidly expanding resource for health research. Ophthalmic research …