Use of Multiple Tests Improves Screening for Glaucoma-Reply.

Evidence-based Criteria for Assessment of Visual Field Reliability.

An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis.

Assessing Glaucoma Progression Using Machine Learning Trained on Longitudinal Visual Field and Clinical Data.

Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.

Dry eye disease and oxidative stress.

Central Corneal Thickness in the Ocular Hypertension Treatment Study (OHTS).