Expert recommendations on artificial intelligence assisted myopia prevention and control in children and adolescents
10.16835/j.cnki.1000-9817.2026234
- VernacularTitle:人工智能辅助儿童青少年近视防控的专家推荐
- Author:
PAN Chenwei, LI Danlin, LIANG Gang, HE Xiangui, LIU Hu, HU Ke, GUO Lan, WU Xiaoyan, TAO Fangbiao, Vision Health Branch of Chinese Association for Student Nutrition & Health Promotion
1
Author Information
1. School of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, Jiangsu Province, China
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Myopia;
Health promotion;
Child;
Adolescent
- From:
Chinese Journal of School Health
2026;47(8):1065-1068
- CountryChina
- Language:Chinese
-
Abstract:
Abstract:The prevention and control of myopia in children and adolescents has become a national health strategy in China, and its prevention and management are transitioning from experience driven approaches to precise and intelligent strategies. Understanding the role of artificial intelligence (AI) in myopia prevention and control can provide a foundation for a comprehensive myopia prevention and control system. AI, with its powerful capabilities in data analysis and pattern recognition, shows significant potential in myopia risk prediction, screening and diagnosis, intervention support and behavior monitoring in children and adolescents. The article systematically summarizes the scientific evidence and consensus on the application of AI for myopia prevention and control in children and adolescents. From the perspective of public health practice, it proposes hierarchical expert recommendations for multiple scenarios including schools, families, communities and medical institutions, as well as policy and research with development. Furthermore, it discusses current challenges and future directions, aiming to provide a reference for building an intelligent, precise and fully covered comprehensive myopia prevention and control system in children and adolescents.
- Full text:2026091615115344769人工智能辅助儿童青少年近视防控的专家推荐.pdf
