Artificial intelligence for detecting keratoconus.

Journal: The Cochrane database of systematic reviews
Published Date: Nov 15, 2023

Abstract

BACKGROUND: Keratoconus remains difficult to diagnose, especially in the early stages. It is a progressive disorder of the cornea that starts at a young age. Diagnosis is based on clinical examination and corneal imaging; though in the early stages, when there are no clinical signs, diagnosis depends on the interpretation of corneal imaging (e.g. topography and tomography) by trained cornea specialists. Using artificial intelligence (AI) to analyse the corneal images and detect cases of keratoconus could help prevent visual acuity loss and even corneal transplantation. However, a missed diagnosis in people seeking refractive surgery could lead to weakening of the cornea and keratoconus-like ectasia. There is a need for a reliable overview of the accuracy of AI for detecting keratoconus and the applicability of this automated method to the clinical setting.

Authors

  • Magali Ms Vandevenne
    University Eye Clinic Maastricht, Maastricht University Medical Center (MUMC+), Maastricht, Netherlands.
  • Eleonora Favuzza
    Department of Neurosciences, Psychology, Pharmacology and Child Health, University of Florence, Florence, Italy.
  • Mitko Veta
    Medical Image Analysis Group, Eindhoven University of Technology, Eindhoven, the Netherlands.
  • Ersilia Lucenteforte
    Department of Statistics, Computer Science and Applications «G. Parenti», University of Florence, Florence, Italy.
  • Tos Tjm Berendschot
    University Eye Clinic Maastricht, Maastricht University Medical Center (MUMC+), Maastricht, Netherlands.
  • Rita Mencucci
    Department of Neurosciences, Psychology, Pharmacology and Child Health, University of Florence, Florence, Italy.
  • Rudy Mma Nuijts
    University Eye Clinic Maastricht, Maastricht University Medical Center (MUMC+), Maastricht, Netherlands.
  • Gianni Virgili
    Department of Neurosciences, Psychology, Pharmacology and Child Health, University of Florence, Florence, Italy.
  • Mor M Dickman
    University Eye Clinic Maastricht, Maastricht University Medical Center (MUMC+), Maastricht, Netherlands.

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