Eye-Rubbing Detection Tool Using Artificial Intelligence on a Smartwatch in the Management of Keratoconus
This proof of concept could confirm one of the most prominent paradigms in keratoconus management, the role of abnormal eye rubbing, while providing the means to challenge or even negate it by offering the first automated and objective tool for detecting eye rubbing.
Authors
- Maha Noor (ORCID: https://orcid.org/0000-0002-1486-469X)
- Abdellah Jamali
- Pierre Fournié (ORCID: https://orcid.org/0000-0002-9224-2351)
- Layth Sliman (ORCID: https://orcid.org/0000-0003-3369-7302)
- Vincent Soler (ORCID: https://orcid.org/0000-0002-3837-0619)
- Inès Drira (ORCID: https://orcid.org/0000-0001-5858-326X)
- Ayoub Louja (ORCID: https://orcid.org/0009-0009-0900-452X)
Institutions
- Engineering School of Information and Digital Technologies (FR)
- Manchester Royal Eye Hospital (GB)
- Centre Hospitalier Universitaire de Toulouse (FR)
- Université Hassan 1er (MA)
- Hôpital Intercommunal de Créteil (FR)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1167/tvst.13.12.16
- Citations
- 7
- Primary Topic
- Corneal surgery and disorders
- Type
- article
- Field-Weighted Citation Impact
- 2.83