Saeedi Osamah

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

The archetype method can inform clinicians of VF progression patterns.

The Effect of Change in Intraocular Pressure on Choroidal Structure in Glaucomatous Eyes.

The increase in choroidal thickness at lower IOP is associated with approximately equal increases in its intravascular and extravascular compartments.

Monitoring Glaucomatous Functional Loss Using an Artificial Intelligence-Enabled Dashboard.

The AI-enabled glaucoma dashboard, developed using a large VF dataset containing a broad spectrum of visual deficit types, has the potential to provide clinicians with a user-friendly tool for determination of the severity of glaucomatous…

Quantification of Retinal Ganglion Cell Morphology in Human Glaucomatous Eyes.

Glaucoma patients had lower GCL soma density and symmetry, greater soma size, and increased variation of GCL soma reflectance compared with age-matched control subjects.

Development and Comparison of Machine Learning Algorithms to Determine Visual Field Progression.

MLCs showed a moderate to high level of accuracy, sensitivity, and specificity and were more balanced than conventional algorithms.

Trends in Prevalence of Diagnosed Ocular Disease and Utilization of Eye Care Services in American Veterans.

The prevalence of diagnosed eye conditions among American Veterans is increasing, as is the use of eye care services.

A Systematic Evaluation of State Laws Governing Optometric Glaucoma Management in the United States Upto 2015.

There is a diversity of regulations that govern optometric management of glaucoma in each of the 50 states and the District of Columbia.

Cell - Vessel Mismatch in Glaucoma: Correlation of Ganglion Cell Layer Soma and Capillary Densities.

An inverted soma-capillary density local relationship in areas affected by glaucoma potentially explains weaker global correlations observed between GCL soma and capillary density, suggesting cell-vessel mismatch is associated with the disease.