面向基层的人工智能眼底彩色照相黄斑区域病变体征筛查系统规范化设计及应用指南

The standardized design and application guidelines:a primary-oriented artificial intelligence screening system of the lesion sign in the macular region based on fundus color photography

随着人工智能(AI)概念的推广和技术的发展,在医疗领域逐渐出现基于AI算法的疾病筛查系统。这类系统可用于疾病的大规模筛查,以缓解基层医疗卫生压力。近年来,AI算法在眼底彩色照相黄斑区域的病变体征分析和识别中展现了良好的性能,随着时间的推移,未来定会出现适用于基层筛查的眼底病变体征筛查系统。因此,为了规范基于AI算法构建的黄斑区域病变体征筛查系统的设计及临床应用,中华医学会眼科学分会眼底病学组联合相关专家,经过调研问题、讨论生产证据、召开指南研讨会等环节,针对基层筛查系统的黄斑区域和病变体征定义、AI应用场景、算法模型构建、数据集的建立和标注、架构和功能设计和图像数据采集等方面制定统一标准,以便指导筛查工作的开展。

With the popularity and development of artificial intelligence(AI),disease screening systems based on AI algorithms are gradually emerging in the medical field.Such systems can be used for primary screening of diseases to relieve the pressure on primary health care.In recent years,AI algorithms have demonstrated good performance in the analysis and identification of lesion signs in the macular region of fundus color photography,and a screening system for fundus lesion signs applicable to primary screening is bound to emerge in the future.Therefore,to standardize the design and clinical application of the macular region lesion sign screening systems based on AI algorithms,the Ocular Fundus Diseases Group of Chinese Ophthalmological Society,in collaboration with relevant experts,has developed this guideline after investigating issues,discussing production evidence,and holding guideline workshops.This guideline aims to establish uniform standards for the definition of the macular region and lesion signs,AI adoption scenarios,algorithm model construction,datasets establishment and labeling,architecture and functions design,and image data acquisition for the screening system to guide the implementation of the screening work.