A refractive error prediction model for children and adolescents based on ocular biometric parameters

Abstract Objective To develop a predictive model based on ocular biometric parameters and deep learning for studying the progression of refractive errors in children and adolescents. Methods This longitudinal observational cohort study included 559 children and adolescents (1,118eyes; 252males, 307f...

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Hlavní autoři:	Wei-Jie Zhang, Shu-Li Xie, Yu-Chang Kan, Xin Yu, Xin-Xin Zhang, Xue-Liang Feng, Guang-Hua Zhang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2026-01-01
Edice:	BMC Ophthalmology
Témata:	Ocular biometric parameters Deep learning Myopia prediction Spherical refraction Cylindrical refraction
On-line přístup:	https://doi.org/10.1186/s12886-025-04600-z
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