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.
当前国内外对人工智能技术（artificial intelligence，AI）在眼病筛查和临床诊疗中的应用十分重视。近年来，此项技术也广泛应用于我国各基层眼健康筛查场景中，有效改善基层医疗机构眼病诊断能力薄弱、人力资源紧缺的现状。但目前融合此项技术开展的视觉健康管理工作的管理模式、实施内容、管理方法等方面仍无可参考的适宜性规范或指南，亟待标准化。本文对上海市AI技术辅助的基层视觉健康管理工作模式探索情况进行介绍，分享实践经验，旨在为国内其他省市开展相关工作提供参考。.