Exploration and practice of artificial intelligence assisted primary vision health management.
10.3760/cma.j.cn112150-20220302-00198
- Author:
Ya Jun PENG
1
;
Yi XU
1
;
Sen Lin LIN
1
;
Jiang Nan HE
1
;
Jian Feng ZHU
1
;
Li Na LU
1
;
Hai Dong ZOU
1
Author Information
1. Shanghai Eye Diseases Prevention & Treatment Center, Shanghai Eye Hospital, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai Engineering Center for Visual Science and Photomedicine,Shanghai 200336, China.
- Publication Type:Journal Article
- MeSH:
Humans;
Artificial Intelligence;
China;
Reference Standards;
Workforce
- From:
Chinese Journal of Preventive Medicine
2023;57(1):125-130
- CountryChina
- Language:Chinese
-
Abstract:
It has attracted much attention worldwide that the application of artificial intelligence (AI) in primary screening and clinical diagnosis and treatment of eye diseases. In recent years, this technology has also been widely used in various grass-roots eye disease management, effectively improving the current situation of weak eye disease diagnosis ability and shortage of human resources in primary medical institutions. At present, there is no reference standard or guideline for the management mode, implementation content and management method of vision health management based on this technology, which are in urgent need of standardization. The article described the work mode exploration of AI-assisted grass-roots visual health management in Shanghai and shared practical experience. The aim is to provide reference for other provinces in China to carry out relevant work.
