Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
AI-Powered OCTA: Revolutionizing Diabetic Retinopathy Diagnosis and Unveiling Microvascular Pathobiology
Author Affiliations & Notes
  • Yali Jia
    Casey Eye Institute, Oregon Health & Science Univ., Portland, Oregon, United States
  • Footnotes
    Commercial Relationships   Yali Jia Genentech, Inc, Code F (Financial Support), Visionix/Optovue, Inc., Code P (Patent), Genentech, Inc, Code P (Patent), Optos, Plc, Code P (Patent), Visionix/Optovue, Inc., Code R (Recipient)
  • Footnotes
    Support  NIH R01 EY035410, R01 EY027833
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 459. doi:
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    • Get Citation

      Yali Jia; AI-Powered OCTA: Revolutionizing Diabetic Retinopathy Diagnosis and Unveiling Microvascular Pathobiology. Invest. Ophthalmol. Vis. Sci. 2024;65(7):459.

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

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Abstract

Presentation Description : In this talk, deep learning-based diabetic retinopathy (DR) classification using OCTA and a new interpretable method will be introduced. This method may provide a useful tool for DR clinics and transform their diagnosis by eliminating the need for traditional biomarker detection. Additionally, we will explore how deep learning, in conjunction with OCTA, unveils the intricate microvascular changes associated with DR. These new findings and insights will be shared in this talk.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

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