【摘要】 目的/意义 探索医学领域人工智能(artificial intelligence, AI)就绪数据治理路径，为我国AI就绪数据建设提供经验借鉴。方法/过程 运用案例分析、内容分析等方法，基于美国国立卫生研究院战略规划、研究专项及科研项目等信息，从实践举措、推进机制、实施路径等维度分析其AI就绪数据治理经验。结果/结论 医学领域AI就绪数据治理是涵盖标准、工具、伦理和能力的系统工程，应整合生物医学研究、AI研发、应用场景等多元要素协同推进。更多还原

【Abstract】 Purpose/Significance To explore the governance path of AI-ready data in the medical field, and to provide references for the construction of AI-ready data in China. Method/Process By using methods such as case analysis and content analysis, based on information such as the strategic planning, research projects and funded scientific projects of the U.S. National Institutes of Health(NIH), the experience of AI-ready data governance is analyzed from the perspectives of practical measures, promotion mechanisms and implementation paths. Result/Conclusion AI-ready data governance in the medical field is a system engineering that encompasses standards, tools, ethics, and capabilities. It is necessary to integrate multiple elements such as biomedical research, AI development, and application scenarios for coordinated advancement.更多还原