Machine Learning Identifies Predictors of Amniotic Membrane Graft Failure in Neurotrophic Keratitis
Systemic immunosuppression, repeated AMTs, and prior ocular surgery are key predictors of AMT failure in NK. Combining regression models, clustering, and machine learning provides a robust framework for risk stratification. These findings support the development of personalized monitoring and treatment strategies to improve surgical outcomes in NK.
Authors
- Vincent Daïen (ORCID: https://orcid.org/0000-0001-5675-0861)
- Frédéric Michon (ORCID: https://orcid.org/0000-0003-4305-305X)
- Des Fernandes
- Hannah Crowdy
Institutions
- The University of Sydney (AU)
- Inserm (FR)
- Université de Montpellier (FR)
- Hôpital Gui de Chauliac (FR)
- Institute for Neurosciences of Montpellier (FR)
Publication Details
- Journal
- Ophthalmology and Therapy
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1007/s40123-025-01259-z
- Primary Topic
- Ocular Surface and Contact Lens
- Type
- article
- Field-Weighted Citation Impact
- 0.00