Myopia Prediction Using Machine Learning: An External Validation Study.
Publication/Presentation Date
10-9-2025
Abstract
We previously developed machine learning (ML) models for predicting cycloplegic spherical equivalent refraction (SER) and myopia using non-cycloplegic data and following a standardized protocol (cycloplegia with 0.5% tropicamide and biometry using NIDEK A-scan), but the models' performance may not be generalizable to other settings. This study evaluated the performance of ML models in an independent cohort using a different cycloplegic agent and biometer. Chinese students (N = 614) aged 8-13 years underwent autorefraction before and after cycloplegia with 0.5% tropicamide (
Volume
9
Issue
4
ISSN
2411-5150
Published In/Presented At
Chandra, R. S., Ying, B., Wang, J., Cui, H., Ying, G., & Oatts, J. T. (2025). Myopia Prediction Using Machine Learning: An External Validation Study. Vision (Basel, Switzerland), 9(4), 84. https://doi.org/10.3390/vision9040084
Disciplines
Medicine and Health Sciences | Pediatrics
PubMedID
41133608
Department(s)
Department of Pediatrics
Document Type
Article