Core Viewpoint - The National Health Commission and other departments have released an implementation opinion to promote and standardize the application of "Artificial Intelligence + Healthcare," with specific development goals set for 2027 and 2030 [1][2] Group 1: Development Goals - By 2030, intelligent auxiliary applications for grassroots diagnosis and treatment are expected to achieve basic coverage, enhancing the efficiency of clinical diagnosis and addressing healthcare resource shortages [1][2] - By 2027, a number of high-quality data sets and trusted data spaces in the healthcare sector will be established, along with the development of specialized clinical models and intelligent applications [1] Group 2: Key Application Areas - The opinion outlines 24 key applications across eight areas: grassroots application, clinical diagnosis, patient services, traditional Chinese medicine, public health, scientific research and education, industry governance, and health industry [2] - AI technology will be prioritized for grassroots medical institutions, focusing on common and frequently occurring diseases, providing intelligent services such as diagnostic assistance and prescription review [2] Group 3: Infrastructure and Support - To solidify the application foundation, five areas of focus will be implemented: strengthening infrastructure, enriching medical data supply, optimizing AI computing power and algorithms, enhancing pilot base construction, and supporting technology talent and standards [2] - The establishment of intelligent auxiliary applications in grassroots healthcare is expected to improve the capabilities of general practitioners in diagnosis and treatment [2]

Core Insights - The National Health Commission and other departments have released implementation opinions to promote and standardize the application of "Artificial Intelligence + Healthcare" [1] Group 1: Development Goals - By 2027, a number of high-quality datasets and trusted data spaces in the healthcare sector will be established, along with the formation of specialized clinical models and intelligent applications [1] - Widespread application of intelligent assistance in grassroots diagnosis and treatment, clinical decision-making, and patient services in healthcare institutions is expected [1] - A batch of national AI application pilot bases in the healthcare field will be established to drive high-quality development in the health industry [1] Group 2: Future Projections - By 2030, intelligent assistance applications in grassroots diagnosis and treatment are expected to achieve full coverage [1] - The application of AI technologies such as intelligent diagnostic assistance in medical imaging and clinical decision-making is anticipated to be widely adopted in secondary hospitals and above [1] - A standardized system for the application of "Artificial Intelligence + Healthcare" is expected to be basically improved, along with the establishment of leading technology innovation and talent training bases globally [1]