北京发布支持医疗健康领域AI应用发展行动计划，如何为患者提供更多暖心服务？

Group 1 - The core focus of the "Beijing Action Plan for Supporting the Development of Artificial Intelligence Applications in the Medical and Health Sector (2026-2027)" is on enhancing clinical diagnosis, grassroots health, and health management, while also expanding into public health management, intelligent management of medical institutions, industry regulation, and public-facing intelligent services [1] - The plan emphasizes the importance of not allowing artificial intelligence to completely replace the professional judgment of medical personnel, ensuring the rationality of medical decisions and humanistic care [1] - The plan aims to establish a governance system covering the entire data lifecycle and to create unified standards and norms for data generation, collection, aggregation, storage, and application [3] Group 2 - The plan encourages collaboration between medical institutions and high-quality AI companies for application research and development, promoting mature products across relevant medical institutions in the city [3] - The "Several Measures" document further proposes "medical-enterprise collaboration," highlighting the necessity of professional medical knowledge for data annotation and model validation [3][5] - The use of blockchain technology is proposed to create a trusted data space for healthcare, enabling model training in a secure environment and facilitating the conversion of data resources into economic value [7] Group 3 - Various levels of medical institutions in Beijing are applying AI products tailored to their specific needs, with examples including AI services in pre-hospital, in-hospital, and post-discharge follow-up processes [6] - AI technology is being promoted in grassroots medical institutions, with applications such as AI retinal imaging and pre-prescription review systems [6] - The collaboration among enterprises in the medical AI sector is deemed essential for sharing mature technologies and algorithms, thereby avoiding resource duplication and collectively advancing the industry [5]