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Artificial intelligence (AI) aided diagnosis technology based onmedical big data has matured in recent years.AI-aided diagnosis system based on color fundus photographs has shown favorable sensitivity and specificity in the screening of diabetic retinopathy (DR). In order to establish a unified standard for AI-assisted DR screening, promote the clinical practice of AI diagnostic system, and improve the level of DR diagnosis and treatment based on AI technology in China, the Artificial Intelligent Ophthalmology Group under the Intelligent Medicine Special Committee of China Medicine Education Association drafted and adopted the “Artificial Intelligent Diabetic Retinopathy Screening System Based on Fundus Photography Guideline” . Specifications and recommendations of AI-assisted DR diagnosis platform based on fundus photographs were formulated on system hardware parameters, equipment configuration, data collection and standards, database establishment, AI algorithm requirements, content and format of AI screening report, and AI screening follow-up plan.