中国糖尿病视网膜病变人群调研报告

Investment Rating - The report does not explicitly state an investment rating for the industry Core Insights - Diabetic retinopathy is a chronic complication of diabetes that can lead to blindness if not treated promptly, with the risk increasing with the duration of diabetes [2][11] - The number of diabetic retinopathy patients is rapidly increasing globally and in China, highlighting the need for early screening and intervention [2][24] - AI technology is being encouraged for use in diabetic retinopathy screening, which can improve efficiency and accuracy [4][39] Summary by Sections 1. Overview of Diabetic Retinopathy and Screening Status - Diabetic retinopathy is classified into proliferative and non-proliferative types, with the risk of developing the condition increasing with the duration of diabetes [7][11] - Effective prevention and management strategies can reduce the incidence and progression of diabetic retinopathy [7][18] 2. Key Findings from Population Research - Patients with longer diabetes duration and those living in lower-tier cities have lower awareness and screening rates for diabetic retinopathy [3][42] - There is a high acceptance of screening in secondary and tertiary hospitals, while grassroots medical institutions face challenges [3][42] 3. Challenges and Solutions in Screening - The demand for diabetic retinopathy screening is substantial, driven by national policies and advancements in AI technology [4][39] - AI solutions can address traditional screening challenges, offering advantages in efficiency, operational difficulty, precision, and cost [4][39] 4. Development Trends of "AI + Diabetic Retinopathy Screening" - The integration of AI in screening solutions aims to enhance the overall management of diabetic retinopathy, from prevention to follow-up [5][39] - AI can help bridge the gap in screening capabilities at the grassroots level, improving chronic disease management efficiency [5][39]