Performance of artificial intelligence-based models for epiretinal membrane diagnosis: A systematic review and meta-analysis.

Journal: American journal of ophthalmology
Published Date: May 31, 2025

Abstract

TOPIC: Epiretinal membrane (ERM) can impair central vision by forming a pre-retinal fibrous layer on the inner retina. Artificial intelligence (AI)-based tools may streamline ERM diagnosis, but their overall performance and factors affecting accuracy require evaluation.

Authors

  • David Mikhail
    Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Angel Gao
    Faculty of Medicine, Queen's University, Kingston, Ontario, Canada.
  • Andrew Farah
    Faculty of Medicine, McGill University, Montreal, QC H3A 0G4, Canada.
  • Andrew Mihalache
    Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, 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.
  • Marko M Popovic
    Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada.
  • Reut Shor
    Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada.
  • Renaud Duval
    Department of Ophthalmology, University of Montreal, Montreal, QC H3T 1J4, Canada.
  • Peter J Kertes
    Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada.
  • Radha P Kohly
    Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada; John and Liz Tory Eye Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
  • Rajeev H Muni
    Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals