Exploration and practice of artificial intelligence assisted primary vision health management / 中华预防医学杂志

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.

Analysis of community intervention effects for diabetic eye diseases in Shanghai Xinjing community from 2016 to 2018 / 中华预防医学杂志

Objective: To analyze the effects of community-based interventions for diabetic eye diseases in Xinjing community, Shanghai from 2016 to 2018. Methods: Based on the project of "Establishment of Service Model for Comprehensive Prevention and Treatment of Diabetic Eye Diseases in Shanghai", the participants were not suffering diabetic retinopathy (DR) in Xinjing community in 2016 before interventions and received community-based interventions for diabetic eye diseases. The incidence of DR, visual acuity and awareness of DR were used as evaluation indicators to analyze the effects of interventions for diabetic eye diseases in the community. Results: A total of 537 patients were included in this study, the incidence of DR among diabetic patients in Xinjing community was 7.6% after interventions. The duration of diabetes (OR= 1.065) and HbA1c (OR= 1.090) were the risk factors of DR. Before and after the interventions, the patients with monocular low vision and binocular low vision were 27 cases (5.0%), 8 cases (1.5%), 19 cases (3.5%) and 7 cases (1.3%) respectively. After interventions, the awareness on the prevention and treatment of DR increased significantly, and the proportion of regular visits to ophthalmology examination, diet control and physical exercise also increased significantly. Conclusion: Community-based interventions for diabetic eye diseases are helpful to improve the awareness of DR prevention and control, reduce the incidence of DR.