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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Wei-Jie Zhang, Shu-Li Xie, Yu-Chang Kan, Xin Yu, Xin-Xin Zhang, Xue-Liang Feng, Guang-Hua Zhang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	BMC 2026-01-01
Schriftenreihe:	BMC Ophthalmology
Schlagworte:	Ocular biometric parameters Deep learning Myopia prediction Spherical refraction Cylindrical refraction
Online-Zugang:	https://doi.org/10.1186/s12886-025-04600-z
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!