利好来了！五部门发布

Core Viewpoint - The article discusses the implementation opinions on promoting and regulating the application of "Artificial Intelligence + Healthcare" in China, outlining a strategic framework for the development of AI in the healthcare sector by 2027 and 2030 [1][4]. Group 1: Overall Requirements - The guiding ideology emphasizes government guidance, multi-party participation, innovation-driven approaches, and safety control, aiming to meet the growing health service demands of the public [7]. - By 2027, the goal is to establish high-quality datasets and trusted data spaces in the healthcare sector, with widespread applications of AI in clinical decision-making and patient services [7][8]. - By 2030, the aim is for comprehensive coverage of intelligent assistance in grassroots diagnosis and the establishment of a standard system for AI applications in healthcare [8]. Group 2: Deepening Key Applications - AI applications will focus on eight areas, including grassroots healthcare, clinical diagnosis, patient services, traditional Chinese medicine, public health, scientific research, industry governance, and health industry development [9][10][11][12]. - Specific initiatives include enhancing intelligent applications in community healthcare, promoting intelligent diagnostic services in medical imaging, and improving management of chronic diseases [9][10]. Group 3: Strengthening Application Foundations - Emphasis on infrastructure development, including the construction of a national health information platform connecting all healthcare institutions [14]. - The article highlights the need for rich medical data supply and optimized AI algorithms, as well as the establishment of comprehensive co-creation platforms for AI applications [15][16]. Group 4: Regulating Safety and Supervision - Proposals include optimizing industry management and review systems, innovating regulatory methods, and enhancing data security and personal privacy protection [17]. Group 5: Strengthening Organizational Support - The article calls for improved institutional frameworks, pilot demonstrations, and collaborative promotion of AI in healthcare to ensure mutual benefits and shared outcomes [17].