Digital transformation of care for keratoconus patients: ML modeling structural outcomes of corneal collagen cross-linking

Digital transformation of care for keratoconus patients: ML modeling structural outcomes of corneal collagen cross-linking

BackgroundStructural outcomes of corneal collagen cross-linking (CXL) have not been thoroughly investigated. Clinical risk assessment would benefit from a reliable prognosis of postoperative minimal (MCT) and central corneal thickness (CCT).ObjectiveThe objective of this study was to find a combinat...

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Main Authors: Yauhen Statsenko, Darya Smetanina, Roman Voitetskii, Gillian Lylian Simiyu, Mikalai Pazniak, Elena Likhorad, Aleh Pazniak, Pavel Beliakouski, Dmitri Abelski, Fatima Ismail, Klaus Neidl-Van Gorkom, Milos Ljubisavljevic
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Medicine
Subjects:
keratoconus
corneal collagen cross-linking
CXL outcomes
machine learning models
predictive models
keratometry readings
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1462653/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1462653/full

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