基于眼底照相的糖尿病视网膜病变人工智能筛查系统应用指南

摘要

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 AIassisted 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.%基于医疗大数据的人工智能(AI)辅助诊断技术近年来日趋成熟,基于彩色眼底照相的AI辅助诊断系统在糖尿病视网膜病变(DR)的筛查中展现了良好的灵敏度和特异度.为了建立AI辅助DR筛查的统一标准,推动AI诊断系统的临床实践应用,提升我国基于AI技术的DR诊疗水平,中国医药教育协会智能医学专委会智能眼科学组起草并通过了《基于眼底照相的糖尿病视网膜病变人工智能筛查系统应用指南》,对基于彩色眼底照相的AI辅助DR诊断平台的硬件参数、设备配置、数据采集及标准、数据库建立、AI算法要求、AI筛查报告内容格式、临床AI筛查随访方案制定了相关规范和建议.