July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
AI to assess mechanisms of glaucoma and other diseases
Author Affiliations & Notes
  • Anil Bharath
    Imperial College, London, United Kingdom
  • Footnotes
    Commercial Relationships   Anil Bharath, DAMAE Medical (F), SAMSUNG Global Research (F), the Rosetrees Trust (F)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 1408. doi:
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      Anil Bharath; AI to assess mechanisms of glaucoma and other diseases. Invest. Ophthalmol. Vis. Sci. 2019;60(9):1408.

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

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Abstract

Presentation Description : The past year has witnessed investments in artificial intelligence in areas that span medical science and healthcare, including for the detection and monitoring of disorders that manifest in the eye. In this talk, I will explore the potential of AI for improving screening and detection, and for gaining mechanistic insight into glaucoma and other diseases of the eye. I will also identify situations under which the current tools of AI might be unsuitable, suggest alternative approaches for such cases, and also highlight how future developments of AI might ultimately provide new tools for hypothesis-driven research.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

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