Abstract
Presentation Description :
Providing an accurate glaucoma diagnosis is a complex endeavor that is time consuming. It is subjective and heavily dependent on a clinician’s experience/expertise, often requiring multiple clinical tests. To simplify glaucoma management, our team is currently developing custom-written artificial intelligence algorithms that can be applied to 3D OCT images of the optic nerve head (ONH) - the main site of glaucoma damage. We aim to provide a glaucoma diagnosis/prognosis that is more accurate than that given by any other gold-standard glaucoma parameters (or their combinations).
This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.