促进规范人工智能深度融入健康服务

Core Viewpoint - The integration of artificial intelligence (AI) in healthcare is being promoted to enhance service capabilities, optimize resource allocation, and meet the growing health service demands of the population [1][2][3] Group 1: AI Applications in Healthcare - AI technologies are being applied in various medical fields, including medical imaging diagnosis, clinical decision support, and chronic disease management [1] - The implementation of AI in healthcare aims to provide personalized health management suggestions and assist primary care physicians with diagnostic and treatment processes [1][2] Group 2: Implementation Guidelines - Five departments have released guidelines to promote and regulate the application of AI in healthcare, with a timeline set for 2030 to achieve comprehensive coverage of intelligent assistance in primary care [1][2] - Specific measures include promoting intelligent diagnostic services, expanding clinical decision support applications, and enhancing chronic disease management services [2] Group 3: Focus Areas - The guidelines emphasize the importance of grassroots applications, clinical diagnosis, patient services, and public health [2] - There is a focus on developing intelligent health management services, including health consultations and personalized health profiles for chronic disease management [2] Group 4: Regulatory and Safety Measures - The approach to AI in healthcare emphasizes empowerment rather than replacement, with a commitment to optimizing industry management and enhancing data security and privacy protection [3] - Plans include establishing clinical specialty data sets and AI corpus, as well as creating a public support service platform for vertical AI models in the healthcare sector [3]