Rithambara Ramachandran

Artificial Intelligence for Glaucoma: Creating and Implementing Artificial Intelligence for Disease Detection and Progression.

The conference participants focused on the use of AI as a tool for disease prediction, highlighted its ability to address inequalities, and presented the limitations of and challenges to its clinical application.

Comparison between the Recommendations of Glaucoma Specialists and OCT Report Specialists for Further Ophthalmic Evaluation in a Community-Based Screening Study.

There was a fair level of agreement regarding glaucoma referral recommendations between glaucoma specialists with access to comprehensive screening data and OCT report specialists with access to only OCT data.

The Association of Social Determinants of Health on Monitoring for Disease Progression Among Patients With Primary Open-Angle Glaucoma.

Racial and ethnic minorities and those residing in lesser affluent or rural communities are less likely to receive monitoring for POAG progression in accordance with NQF and AAO guidelines.

Neighborhood Poverty and Clinic Attendance in the Michigan Screening and Intervention for Glaucoma and Eye Health Through Telemedicine Program.

Higher neighborhood-level poverty was associated with greater odds of missing a free eye disease screening appointment after adjusting for individual characteristics. Increased neighborhood-level resources are likely needed to bolster engagement in preventive eye care.

Leveraging Sight Outcomes Research Collaborative (SOURCE) Data to Predict Initial Presentation With Advanced Open-Angle Glaucoma.

Identifying sociodemographic predictors of late presentation using large population-based datasets may help inform targeted glaucoma screening efforts, since delayed initial presentation is a major risk factor for vision loss from advanced OAG.

Michigan Screening and Intervention for Glaucoma and Eye Health through Telemedicine Program: Impact on Vision, Follow-up, and Costs.

Expanding glaucoma and eye disease screening and treatment of refractive error to community health centers with care navigation support could improve vision and eye health outcomes.

Performance of Optic Disc Optical Coherence Tomography Normative Database in a Large, Diverse, Real-World Cohort.

OCT normative databases should accurately reflect diverse populations to avoid misclassification by RNFL thickness color codes. Larger data sets should be leveraged to encompass the full spectrum of healthy optic nerve anatomy.

How Do We Pay for Glaucoma Screening?

The 24-2 Visual Field Test Misses Central Macular Damage Confirmed by the 10-2 Visual Field Test and Optical Coherence Tomography.

Eyes with macular glaucomatous damage may be classified as normal based on the 24-2 VF alone.

Details of Glaucomatous Damage Are Better Seen on OCT En Face Images Than on OCT Retinal Nerve Fiber Layer Thickness Maps.

Details of local glaucomatous damage, missing or easily overlooked on traditional OCT RNFL thickness analysis used in clinical OCT reports, were seen on OCT en face images based on the average reflectance intensity.