Rai Anvit

Detecting glaucoma with only OCT: Implications for the clinic, research, screening, and AI development.

In section 5, the model helps account for the success of an AI deep learning model, which in turn validates our focus on the RNFL p-map.

The OCT RNFL Probability Map and Artifacts Resembling Glaucomatous Damage.

Glaucoma-like artifacts on RNFL p-maps are relatively common and can masquerade as arcuate and/or widespread/temporal damage.

The ICD-10 Glaucoma Severity Score Underestimates the Extent of Glaucomatous Optic Nerve Damage.

The ICD-10 system relies solely on damage seen on the 24-2 and as provides a 24-2 functional score rather than a "glaucoma" severity score.

Progression of Early Glaucomatous Damage: Performance of Summary Statistics From Optical Coherence Tomography and Perimetry.

Although relying solely on metrics is not recommended for clinical purposes, in situations requiring very high specificity and precision, combinations of OCT-OCT metrics can be used.

Improving glaucoma staging in clinical practice by combining the ICD-10 glaucoma severity classification system and optical coherence tomography.

Combining OCT and VF data provides better staging of glaucoma severity than VF data alone.