Supervised Machine Learning Models for Ocular Sagittal Height Prediction Incorporating Corneoscleral Profile Data.
González-Cruces T; Carrillo-Pulido M; Aguilar-Salazar FJ; Cano-Ortiz A; Ionut Ghinea R; Ortiz-Peregrina S · 2026 · Eye & contact lens
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Objective This study aimed to develop supervised machine learning (ML) models to predict ocular sagittal height (OC-SAG), using anterior eye data derived from topography and tomography. Method ology: A retrospective cohort of 100 eyes…
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Metadata source: Europe PMC · DOI 10.1097/icl.0000000000001277