School-level prediction and management of myopia in children and adolescents.

ABSTRACT:

Background

Previous Artificial Intelligence (AI) models are mainly based on hospital data to predict myopia progression in myopic children. However, school-level AI models for predicting myopia onset in non-myopic children are lacking. There is a need for more precise and comprehensive tools for full myopia management, from the onset of myopia to its progression.

Methods

This study was conducted in 870 centers dispersed across seven cities in China from September 2019 to December 2021, with participants observed for two years. Machine learning models were trained and internally validated on datasets from Shenzhen, and then externally tested from the other six cities. Of 1,123,602 children and adolescents aged 4-18 years old, 1,105,271 individuals were confirmed eligible. Aft

SUBMITTER: Xu S 

PROVIDER: S-EPMC12330041 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature