The following is a summary of “Machine-learning algorithms for the identification of visual field loss associated with the antiseizure medication vigabatrin—a proof of concept,” published in the March ...

Researchers set out to determine the age groups for which a polygenic risk score would most effectively predict glaucomatous ...

Glaucoma diagnosis traditionally relies on a combination of fundus imaging, optical coherence tomography (OCT), intraocular ...

Patients at a high risk for obstructive sleep apnea appear to have a stronger likelihood of also having normal tension glaucoma.

A 49-year-old white woman was referred by an outside eye provider to the glaucoma service at Tufts Medical Center for ...

Minimally invasive glaucoma surgeries offer an alternative to glaucoma drops, which, in some cases, do not adequately lower IOP and show poor compliance.

Background/aims To validate a deep learning algorithm to diagnose glaucoma from fundus photography obtained with a smartphone. Methods A training dataset consisting of 1364 colour fundus photographs ...

Imagine walking into a supermarket, train station, or shopping mall and having your eyes screened for glaucoma within seconds—no appointment needed. With the AI-based Glaucoma Screening (AI-GS) ...

The AI-GS network was tested on a dataset of 8,000 fundus images of the back of the eye (where glaucomatous damage occurs), achieving an impressive 93.52% sensitivity at 95% specificity—a level ...

Primary congenital glaucoma is a rare disease but has a major impact on the child’s development and quality of life over his/her whole life span. Early diagnosis and appropriate therapy can make a ...