Current Applications of Artificial Intelligence for Fuchs Endothelial Corneal Dystrophy: A Systematic Review.

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

Abstract

PURPOSE: Fuchs endothelial corneal dystrophy (FECD) is a common, age-related cause of visual impairment. This systematic review synthesizes evidence from the literature on artificial intelligence (AI) models developed for the diagnosis and management of FECD.

Authors

  • Siyin Liu
    University College London Institute of Ophthalmology, London, UK.
  • Lynn Kandakji
    University College London Institute of Ophthalmology, London, UK.
  • Aleksander Stupnicki
    University College London Medical School, London, UK.
  • Dayyanah Sumodhee
    University College London Institute of Ophthalmology, London, UK.
  • Marcello T Leucci
    Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Scott Hau
    Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Shafi Balal
    Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Arthur Okonkwo
    Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Ismail Moghul
    Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Sandor P Kanda
    Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Bruce D Allan
    University College London Institute of Ophthalmology, London, UK.
  • Dan M Gore
    Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Kirithika Muthusamy
    University College London Institute of Ophthalmology, London, UK.
  • Alison J Hardcastle
    University College London Institute of Ophthalmology, London, UK.
  • Alice E Davidson
    University College London Institute of Ophthalmology, London, UK.
  • Petra Liskova
    Department of Paediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.
  • Nikolas Pontikos
    University College London Institute of Ophthalmology, London, UK n.pontikos@ucl.ac.uk.

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