智能体AI驱动的沉浸式模拟：用于高剂量率（HDR）近距离放射治疗的知识感知虚拟训练平台
Agentic AI-driven Immersive Simulation: A Knowledge-Aware Virtual Training Platform for High Dose Rate (HDR) Brachytherapy
浏览论文内容
中文总结 AI 辅助
该研究提出一款智能体AI驱动的沉浸式模拟平台，用于HDR阴道圆柱近距离放射治疗虚拟训练，集成VR、移动计算与RAG技术，经原型验证可提供高保真无风险训练环境，具备合适延迟与高RAG支持质量。
中文摘要 AI 辅助
元宇宙与基于大语言模型（LLM）的AI智能体的融合，正推动医学教育向自主、沉浸式、个性化的教学框架转变。本文提出一种新型智能体AI驱动的沉浸式模拟系统，专为癌症治疗中的高剂量率（HDR）阴道圆柱（VC）近距离放射治疗设计。该系统集成虚拟现实（VR）与移动计算，构建高保真、无风险的环境，使受训者无需受限于实体解剖结构或活体放射源的设施与安全要求，即可掌握复杂操作技能。本研究的核心贡献在于无缝集成利用检索增强生成（RAG）的知识感知助手，使智能体交互基于权威临床指南。该架构还支持交互式智能体提供自然语言界面，以及在复杂医疗操作中实现免提、实时指导。我们通过原型部署验证该系统，该原型包含连接至本地GPU加速AI后端的Meta Quest 3界面，证明其为HDR近距离放射治疗模拟的可行架构。实验结果表明，该系统保持了合适的端到端延迟，且在RAG增强的教学支持中具备高上下文精度、答案完整性与相关性。
英文摘要
The convergence of the Metaverse and Large Language Model (LLM)-based AI agent is catalyzing a shift toward autonomous, immersive, and personalized pedagogical frameworks in medical education. This paper presents a novel agentic AI-driven immersive simulation specifically designed for High Dose Rate (HDR) vaginal cylinder (VC) brachytherapy in cancer care. By integrating Virtual Reality (VR) and mobile computing, the system establishes a high-fidelity, risk-free environment that allows trainees to master complex procedural skills without the facility or safety constraints posed by physical anatomy or live radioactive sources. A core contribution of this work is the seamless integration of a knowledge-aware assistant leveraging Retrieval-Augmented Generation (RAG) to ground agent interactions in authoritative clinical guidelines. This architecture also enables an interactive agent to provide natural language interfaces and hands-free, real-time guidance during intricate medical maneuvers. We validate the proposed system through a prototype deployment comprising a Meta Quest 3 interface linked to a local GPU-accelerated AI backend, demonstrating a feasible architecture for HDR brachytherapy simulation. Experimental results indicate that the system maintains suitable end-to-end latency and high context precision, answer completeness, and relevance in the RAG-enhanced pedagogical support.
