Artificial intelligence-based extraction of quantitative ultra-widefield fluorescein angiography parameters in retinal vein occlusion.

Journal: Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
Published Date: Aug 31, 2024

Abstract

OBJECTIVE: To examine the association between quantitative vascular parameters extracted from intravenous fluorescein angiography (IVFA) and baseline clinical characteristics of patients with retinal vein occlusion (RVO).

Authors

  • Ryan S Huang
    Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Andrew Mihalache
    Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada.
  • Marko M Popovic
    Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada.
  • Colyn Munn
    Emagix Inc., Halifax, Nova Scotia, Canada.
  • Isabela Martins Melo
    Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada.
  • Aurora Pecaku
    Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada.
  • Lyna Kamintsky
    Department of Medical Neuroscience, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada.
  • Alon Friedman
  • David T Wong
    Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada.
  • Rajeev H Muni
    Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada.

Keywords

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