人工智能赋能疾病预防控制标准化建设现状及建议OA

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.