专题沙龙围绕医疗人工智能应用中的数据质量、伦理合规、模型评价和临床场景落地，开展小规模专业交流。
A focused salon on data quality, ethics, model evaluation, and clinical implementation in medical AI applications.
活动导语
随着医疗人工智能应用加速，数据治理和伦理合规成为项目能否持续落地的重要基础。
活动要点
- 讨论数据来源、质量控制和脱敏管理。
- 交流模型验证、临床适配和风险提示方法。
- 关注跨机构协作中的合规边界和责任分工。
主要内容
沙龙采用主题引导和圆桌讨论相结合的方式，邀请医疗信息化、临床研究和伦理治理相关人员共同交流。
参与对象
适合医疗机构信息部门、临床研究团队、人工智能项目团队、伦理管理人员和会员代表参加。
预期成果
活动将整理数据治理议题清单，为后续专题研究和培训课程设计提供依据。
Overview
As medical AI moves toward wider implementation, data governance and ethical compliance have become essential conditions for sustainable application.
Key Points
- Data sources, quality control, and de-identification management.
- Model validation, clinical fit, and risk communication.
- Compliance boundaries and responsibility allocation in multi-institution projects.
Program Focus
The salon combines short thematic inputs with roundtable discussion among professionals in health informatics, clinical research, and ethics governance.
Participants
The session is suitable for hospital information teams, clinical research groups, AI project teams, ethics management staff, and member representatives.
Expected Outcome
HIPDS will prepare a topic list on data governance to inform future studies and training programs.