July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
OCTAGON: Optical Coherence Tomography & Artificial Intelligence for Glaucomatous Optic Neuropathy
Author Affiliations & Notes
  • Alexander Thiery
    National University of Singapore, Singapore, Singapore
  • Footnotes
    Commercial Relationships   Alexander Thiery, Abyss Processing (I)
  • Footnotes
    Support  Singaporean MOE grant
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 1406. doi:https://doi.org/
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      Alexander Thiery; OCTAGON: Optical Coherence Tomography & Artificial Intelligence for Glaucomatous Optic Neuropathy. Invest. Ophthalmol. Vis. Sci. 2019;60(9):1406. doi: https://doi.org/.

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      © ARVO (1962-2015); The Authors (2016-present)

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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.


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