A multi-agent collaborative clinical case recommendation and knowledge tracking method and system
By constructing a two-layer medical clinical case knowledge graph and a multi-agent collaborative mechanism, the problems of fragmented and rigid teaching in existing medical education have been solved, and systematic clinical thinking training and personalized learning paths have been realized, thereby improving teaching effectiveness.
CN122414533APending Publication Date: 2026-07-17ZHEJIANG UNIV OF TECH
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHEJIANG UNIV OF TECH
- Filing Date
- 2026-03-27
- Publication Date
- 2026-07-17
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Figure CN122414533A_ABST
Abstract
本发明属于人工智能与医学教育交叉领域，公开了一种多智能体协同的临床案例推荐与知识追踪方法及系统，通过构建包含微观知识关联层与宏观教学拓扑层的双层医学临床案例知识图谱，自动构建出具有逻辑递进和相似关系的临床案例关系，提升了临床思维训练的整体连贯性，实现了从单一案例教学向系统化临床案例学习路径规划的转变。通过引入多智能体协同架构，将学习规划、学习引导与学习评估功能进行角色解耦，使学习过程更接近真实临床教学场景，增强了教学交互的启发性与针对性。通过动态认知追踪机制，对用户在知识点维度与通用能力维度上的掌握状态进行持续更新，为实施精细化、个性化学习策略和全面评估用户水平提供了技术基础。
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