Core Viewpoint - The National Health Commission, in collaboration with various governmental bodies, has released implementation guidelines to promote and regulate the application of "Artificial Intelligence + Healthcare" in China, aiming to enhance healthcare services and meet the growing health service demands of the population by 2027 and 2030 [1][5]. Group 1: Overall Requirements - The guidelines emphasize the importance of government guidance, multi-party participation, innovation-driven approaches, and safety in the application of AI in healthcare [5]. - By 2027, the establishment of high-quality health industry data sets and trusted data spaces is targeted, along with the widespread application of AI in clinical decision-making and patient services [6]. - By 2030, the goal is to achieve comprehensive coverage of AI-assisted diagnosis in primary care and to develop a robust standardization system for AI applications in healthcare [6]. Group 2: Key Application Areas - The implementation guidelines identify eight key application areas for AI in healthcare, including primary care, clinical diagnosis, patient services, traditional Chinese medicine, public health, research and education, industry governance, and health industry development [7]. - Specific initiatives include enhancing AI applications in chronic disease management, promoting intelligent diagnostic services in imaging, and improving patient service processes [8][9][10]. Group 3: Strengthening Application Foundations - The guidelines propose strengthening infrastructure, enhancing data supply, optimizing AI algorithms, and establishing pilot bases for AI applications in healthcare [15][17]. - A focus on building a comprehensive health information platform to connect all healthcare institutions is highlighted [16]. - The development of a talent training base for AI in healthcare is also emphasized to support the sector's growth [18]. Group 4: Regulatory and Safety Standards - The guidelines call for the optimization of industry management and review systems, innovative regulatory methods, and enhanced data security and privacy protection [19][20]. - Establishing a management approach for data security and personal information protection is also a priority [20]. Group 5: Organizational Support - The guidelines stress the need for strengthening institutional frameworks, pilot demonstrations, and collaborative efforts to promote the mutual benefits of AI in healthcare [19]. - Encouragement for local governments to enhance AI research support and establish comprehensive policies for funding and resource allocation is included [19].