Negiloni Kalpa

Diagnostic Performance of the Offline Medios Artificial Intelligence for Glaucoma Detection in a Rural Tele-Ophthalmology Setting.

Medios offline AI exhibited promising sensitivity and specificity in detecting referable glaucoma from remote vision centers in southern India when compared with teleophthalmologists.

Impact of Monocular and Binocular Visual Function Parameters on Vision-Related Quality of Life in Glaucoma.

Poor GQL-15 and VFQ-UI scores were reported with increasing disease severity.

Characterization of Gaze Metrics and Visual Search Pattern Among Glaucoma Patients While Viewing Real-World Images.

This study suggests that glaucoma subjects perform more focal searches during active gaze scanning.

Evaluation of an offline, artificial intelligence system for referable glaucoma screening using a smartphone-based fundus camera: a prospective study.

The AI tool showed robust performance when compared against a stringent benchmark. It had modest over-referral of normal subjects despite being challenged with fundus images alone. The next step involves a population-level assessment.