Eye-Rubbing Detection Tool Using Artificial Intelligence on a Smartwatch in the Management of Keratoconus.

Journal: Translational vision science & technology
PMID: 39666356

Abstract

PURPOSE: Eye rubbing is considered to play a significant role in the progression of keratoconus and of corneal ectasia following refractive surgery. To our knowledge, no tool performs an objective quantitative evaluation of eye rubbing using a device that is familiar to typical patients. We introduce here an innovative solution for objectively quantifying and preventing eye rubbing. It consists of an application that uses a deep-learning artificial intelligence (AI) algorithm deployed on a smartwatch.

Authors

  • Ines Drira
    Department of Ophthalmology, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
  • Ayoub Louja
    Hassan First University, Faculty of Science and Technology, IR2M Laboratory, Settat, Morocco.
  • Layth Sliman
    EFREI Paris, Paris, France.
  • Vincent Soler
    Department of Ophthalmology, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
  • Maha Noor
    Manchester Royal Eye Hospital, Manchester, UK.
  • Abdellah Jamali
    Hassan First University, Faculty of Science and Technology, IR2M Laboratory, Settat, Morocco.
  • Pierre Fournie
    Department of Ophthalmology, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.

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