The Role of Artificial Intelligence in Epiretinal Membrane Care: A Scoping Review.

Journal: Ophthalmology science
Published Date: Dec 20, 2024

Abstract

TOPIC: In ophthalmology, artificial intelligence (AI) demonstrates potential in using ophthalmic imaging across diverse diseases, often matching ophthalmologists' performance. However, the range of machine learning models for epiretinal membrane (ERM) management, which differ in methodology, application, and performance, remains largely unsynthesized.

Authors

  • David Mikhail
    Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Daniel Milad
    Faculty of Medicine, University of Montreal, Montreal, QC, Canada; Department of Ophthalmology, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
  • Fares Antaki
    Department of Ophthalmology, University of Montreal, Montreal, QC H3T 1J4, Canada.
  • Karim Hammamji
    Department of Ophthalmology, Université de Montréal, Montreal, Québec, Canada.
  • Cynthia X Qian
    Department of Ophthalmology, University of Montreal, Montreal, Canada; Department of Ophthalmology, Hôpital Maisonneuve-Rosemont, Montreal, Canada.
  • Flavio A Rezende
    Department of Ophthalmology, University of Montreal, Montreal, Canada; Department of Ophthalmology, Hôpital Maisonneuve-Rosemont, Montreal, Canada.
  • Renaud Duval
    Department of Ophthalmology, University of Montreal, Montreal, QC H3T 1J4, Canada.

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