Machine learning-assisted early detection of keratoconus: a comparative analysis of corneal topography and biomechanical data

Machine learning-assisted early detection of keratoconus: a comparative analysis of corneal topography and biomechanical data

Abstract Keratoconus is a progressive eye disease characterized by the thinning and bulging of the cornea, leading to visual impairment. Early and accurate diagnosis is crucial for effective management and treatment. This study investigates the application of machine learning models to identify kera...

Full description

Saved in:
Bibliographic Details
Main Authors: Arkadiusz Syta, Arkadiusz Podkowiński, Tomasz Chorągiewicz, Robert Karpiński, Jakub Gęca, Dominika Wróbel-Dudzińska, Katarzyna E Jonak, Dariusz Głuchowski, Marcin Maciejewski, Robert Rejdak, Kamil Jonak
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Keratoconus
Machine learning
Corneal topography
Biomechanical data
Random forest
Early diagnosis
Online Access:https://doi.org/10.1038/s41598-025-09694-5
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items