“人工智能+医疗卫生”赛道，再迎利好！

Core Viewpoint - The implementation of the "Artificial Intelligence + Healthcare" initiative aims to enhance the quality of healthcare services through the integration of advanced AI technologies, with specific goals set for 2027 and 2030 [1][5][31]. Summary by Sections Overall Requirements - The initiative is guided by Xi Jinping's thought and aims to promote the standardized application of AI in healthcare, enhancing service capabilities and optimizing resource allocation to meet the growing health service demands of the public by 2027 and 2030 [31][41]. Key Applications - Emphasis on grassroots applications, focusing on enhancing diagnostic and treatment capabilities at the community level, including the establishment of intelligent diagnostic applications for common diseases [32][33]. - Promotion of AI in clinical diagnosis, particularly in medical imaging and specialized disease treatment, to improve diagnostic efficiency and quality [33][34]. - Development of patient services through AI, including optimized patient flow and intelligent referral systems to enhance the overall patient experience [34][35]. Infrastructure and Data - Establishment of high-quality healthcare data sets and trusted data spaces by 2027, with a focus on creating a national AI application pilot base in healthcare [31][41]. - Strengthening of health information platforms to ensure comprehensive data sharing and integration across healthcare institutions [41][42]. Safety and Regulation - Implementation of a comprehensive governance mechanism for AI applications in healthcare, focusing on data security and personal privacy protection [43][44]. - Development of innovative regulatory methods and early warning mechanisms to monitor AI applications in healthcare [43][44]. Organizational Support - Encouragement of local governments to enhance AI research support, talent evaluation mechanisms, and funding for AI initiatives in healthcare [44]. - Promotion of pilot projects to build high-quality data sets and trusted data spaces, facilitating the practical application of AI technologies in healthcare [44].