Lokhande Anagha

Artifact Correction in Retinal Nerve Fiber Layer Thickness Maps Using Deep Learning and Its Clinical Utility in Glaucoma.

Artifact correction for RNFLTs improves VF and progression prediction in glaucoma.

Treatment Patterns of Childhood Glaucoma in the United States: Analysis of IRISRegistry (Intelligent Research in Sight).

We found that 1 in 6 childhood glaucoma eyes underwent glaucoma-related procedures, and nearly all received antiglaucoma medications.

Transformer-Based Deep Learning Prediction of 10-Degree Humphrey Visual Field Tests From 24-Degree Data.

The predicted 10-2 VF has the potential to improve glaucoma diagnosis.

Geographic Distribution of Access to Glaucoma Surgery: An IRIS® Registry (Intelligent Research in Sight) Analysis.

Patients are more likely to receive most types of glaucoma surgeries in urban practice locations.

The Impact of Myopia on Regional Visual Field Loss and Progression in Glaucoma.

Lower SE values are associated with worse paracentral VF loss. Worse myopia is associated with functional progression, even when excluding patients with high myopia.

Impact of Demographics on Regional Visual Field Loss and Deterioration in Glaucoma.

Blacks and non-English speakers have more severe VF loss, with superior hemifield being more affected and faster VF worsening.