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O. Findl

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Open access Aug 2026

Prediction of Maximum Keratometry Progression With Stratified Progression Criteria in Keratoconus Patients Using Machine Learning

Machine learning–based prediction of Kmax progression may aid in scheduling risk-adapted follow-up appointments, potentially leading to more rapid identification of progression-suspect KC cases.

A. Schlatter, L. Pomberger, A. Honeder et al. · 0 citations

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