Core Insights - The article highlights the establishment of a national AI application pilot base in the medical field, which aims to enhance the integration of AI in healthcare services and improve patient outcomes [1][6][11] Group 1: AI Application in Healthcare - The AI pilot base serves as a large "incubation factory" where hospitals and enterprises can access services covering the entire process from diagnosis to drug development [1][6] - During the 2025 China International Service Trade Fair, the pilot base showcased 31 AI medical interactive products, including a system for early warning of eye diseases and chronic conditions, which attracted significant public interest [1][3] - The AI eye disease and chronic disease warning system can automatically capture images and generate analysis reports within three minutes, identifying over 30 eye diseases and 10 systemic risks [3][4] Group 2: Infrastructure and Services - The pilot base aims to create a unified support platform for common capabilities, facilitating the standardized and scalable application of AI in healthcare [6][8] - It focuses on two main areas: precision diagnosis and biopharmaceutical manufacturing, providing a comprehensive service system that includes product development and application promotion [7][8] - The base is supported by the Beijing Municipal Development and Reform Commission and the Beijing Municipal Health Commission, with operations managed by a dedicated company [6][7] Group 3: Data Challenges and Solutions - Data challenges, including ownership ambiguity and compliance requirements, are identified as significant obstacles in the development of AI applications in healthcare [9][10] - The pilot base is working on creating a trusted data space to facilitate the safe and efficient use of healthcare data, integrating various medical data resources [9][10] - A medical big model and application evaluation system is being developed to provide authoritative assessments of AI models in real clinical scenarios, ensuring quality and safety in AI applications [10][11] Group 4: Future Vision - The ultimate goal of the pilot base is to leverage AI to enhance healthcare delivery, allowing for early detection of health risks and timely interventions [11] - By connecting medical institutions and enterprises, the base aims to realize the vision of "letting data do the work, reducing patient illness" [11]

Core Insights - The establishment of the National Artificial Intelligence Application Pilot Base in the medical field is a significant step in promoting AI applications in healthcare, aiming to enhance service efficiency and patient outcomes [1][5][6] - The base serves as a comprehensive "incubation factory" for hospitals and enterprises, providing a full range of services from diagnosis to drug development [1][5] - The AI interactive experience area at the base has attracted significant public interest, showcasing products like the "Fundus Disease and Major Chronic Disease Early Warning System," which can quickly identify various health risks [2][3] Group 1: AI Application and Services - The pilot base has launched 31 AI medical interactive products, with a focus on early detection of diseases through advanced imaging technology [1][2] - The "Fundus Disease and Major Chronic Disease Early Warning System" can automatically generate analysis reports within three minutes, identifying over 30 eye diseases and 10 systemic risks [2] - The base aims to create a unified support platform for medical institutions and technology companies, facilitating the entire process from technology validation to clinical trials and product promotion [5][6] Group 2: Challenges and Solutions - Data challenges, including ownership ambiguity and compliance issues, are significant hurdles in the development of AI applications in healthcare [7] - The base is working on establishing a trusted data space to facilitate the secure and efficient use of medical data, addressing the need for a robust data infrastructure [7][8] - A medical big model and application evaluation system is being developed to provide standardized assessments of AI applications in real clinical settings, ensuring quality and compliance [8] Group 3: Future Outlook - The pilot base envisions a future where efficient collaboration among enterprises and hospitals eliminates barriers to data access and product commercialization [9] - By leveraging AI for proactive health monitoring, the base aims to reduce disease incidence and enhance public health outcomes [9] - The ultimate goal is to integrate AI deeply into healthcare, allowing for early risk identification and timely interventions, thereby improving overall health value for individuals [9]

Core Viewpoint - The establishment of the National AI Application Pilot Base in the medical field at the 2025 China International Service Trade Fair marks a significant step in promoting AI applications in healthcare, aiming to enhance efficiency and accessibility in medical services [1][7]. Group 1: AI Application and Services - The pilot base serves as a large "incubation factory" where hospitals and enterprises can access comprehensive services covering diagnosis and drug development [1][7]. - During the fair, 31 AI medical interactive products were showcased, including a system for early warning of eye diseases and major chronic conditions, which attracted significant public interest [1][4]. - The AI eye disease and chronic disease warning system can automatically generate analysis reports within three minutes, identifying over 30 eye diseases and 10 systemic risks [4][5]. Group 2: Infrastructure and Development - The pilot base aims to create a unified support platform for the medical industry, facilitating the standardized and scalable application of AI technologies [7][9]. - It focuses on two main areas: precision diagnosis and biopharmaceutical manufacturing, providing a comprehensive service system that includes product development and application promotion [9][10]. - The base is supported by the Beijing Municipal Development and Reform Commission and the Beijing Municipal Health Commission, with operations managed by a dedicated company [7][9]. Group 3: Data Challenges and Solutions - Data management is identified as a significant challenge, with issues related to ownership, transaction mechanisms, and compliance requirements [10][11]. - The pilot base is working on creating a trusted data space to facilitate low-cost and efficient data usage for hospitals and AI companies [10][11]. - A medical big model and application evaluation system is being developed to provide standardized assessments of AI applications in real clinical settings [11][12]. Group 4: Future Vision - The ultimate goal of the pilot base is to leverage AI to improve public health outcomes by enabling early detection and intervention through data monitoring [12]. - The vision includes a seamless connection between medical institutions and enterprises, allowing for proactive health management and reducing the incidence of diseases [12].