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
Advancing Diagnostic Accuracy: Role of image generation in Automated Disease Detection
Author Affiliations & Notes
  • Aaron Y Lee
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
  • Footnotes
    Commercial Relationships   Aaron Lee Genentech, Code C (Consultant/Contractor), Johnson and Johnson, Code C (Consultant/Contractor), Boehringer Ingelheim, Code C (Consultant/Contractor), Santen, Code F (Financial Support), Optomed, Code F (Financial Support), iCareWorld, Code F (Financial Support), Topcon, Code F (Financial Support), Carl Zeiss Meditec, Code F (Financial Support)
  • Footnotes
    Support  NIH OT2OD032644, Lowy Medical Research Institute, RPB
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 2. doi:
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      Aaron Y Lee; Advancing Diagnostic Accuracy: Role of image generation in Automated Disease Detection. Invest. Ophthalmol. Vis. Sci. 2024;65(7):2.

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

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Abstract

Presentation Description : This talk explores the transformative potential of image generation techniques within the realm of ophthalmology. As the demand for precise and rapid diagnostics surges, the integration of artificial intelligence (AI) and advanced imaging modalities is paramount. This presentation delves into the latest advancements in image generation, illustrating how these tools enhance automated disease detection. By synthesizing high-resolution, anatomically accurate images of the eye, these technologies provide the ability to train more robust deep learning models. As the future of ophthalmic diagnostics is deeply intertwined with technological advancements, understanding the role and potential of image generation is essential for both clinicians and researchers.

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

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