This study aims to analyze the current status and problems of standardization construction for AI-enabled disease prevention and control in China, to provide scientific support for the deep integration of artificial intelligence (AI) and disease prevention and control, and for regulating standardization construction in this field. By analyzing the current status of standardization organizations and standard supply for AI-enabled disease prevention and control in China, and systematically analyzing 334 standards from four dimensions including standard hierarchy, industry chain, business segments, and integrated technical content, we identify problems including fragmented organizational systems, insufficient cross-domain collaboration, and a shortage of integrated standards. In view of the above-mentioned problems, development suggestions are put forward from four perspectives: establishing a regular collaboration mechanism for cross-field standardization technical committees, constructing an integrated standard system framework, filling standard gaps in key areas, and strengthening interdisciplinary talent team building. This study aims to provide theoretical references and practical pathways for the standardization of AI-enabled disease prevention and control, and boost the high-quality development of the disease control sector.

本研究旨在分析我国人工智能赋能疾病预防控制标准化建设的现状与问题，为推动人工智能与疾病预防控制深度融合、规范该领域标准化建设提供科学支撑。通过梳理我国人工智能赋能疾病预防控制标准化组织与标准供给现状，从标准层级、产业链、业务环节、融合技术内容4个维度对334项标准进行系统分析，发现存在组织体系割裂、跨领域协同不足、融合型标准短缺等问题。基于上述问题，从建立跨领域标准化技术委员会常态化协同机制、构建融合型标准体系框架、补齐关键领域标准短板、强化复合型人才队伍建设4个方面提出发展建议，以期为我国人工智能赋能疾病预防控制标准化工作提供理论参考与实践路径，助力疾控事业高质量发展。