Machine learning-driven prediction of cycloplegic refractive error in Chinese children.
Journal:
Frontiers in cell and developmental biology
Published Date:
May 22, 2025
Abstract
OBJECTIVE: To develop and validate machine learning (ML) models for predicting cycloplegic spherical equivalent refraction (SER) using non-cycloplegic parameters, addressing challenges in pediatric ophthalmic assessments.
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