AI Quantification of Vascular Lesions in Mouse Fundus Fluorescein Angiography.

Journal: Translational vision science & technology
Published Date: Jun 2, 2025

Abstract

PURPOSE: Quantifying vascular leakage in fundus fluorescein angiography (FFA) is a critical endpoint in preclinical models of diseases such as neovascular age-related macular degeneration, retinopathy of prematurity, and diabetic retinopathy. Traditional manual methods are labor intensive and prone to variability. We developed an artificial intelligence (AI)-assisted method to improve efficiency and accuracy in quantifying vascular lesions in FFA images.

Authors

  • Vinodhini Jayananthan
    Department of Ophthalmology and Visual Sciences, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Tyler Heisler Taylor
    Department of Ophthalmology and Visual Sciences, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • David Henry Greentree
    Department of Ophthalmology and Visual Sciences, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Bryce Collison
    Department of Neuroscience, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Nagaraj Kerur
    Department of Ophthalmology and Visual Sciences, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.

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