用AI模拟放疗计划错误并让学员用自然语言改进，像飞行模拟器一样练手。
Virtual Dosimetrists: A Radiotherapy Training "Flight Simulator"
- AI生成有缺陷的放疗计划，支持自然语言交互修改。
- 模型可快速生成准确剂量分布，仅需少量计算资源。
- 适合放疗培训人员练手，解决临床教学案例不足问题。
放疗计划质量评估的有效教育需要大量更新的示例和展示多种规划方法及其后果的灵活性，但当前以临床为基础的教学模式无法满足这些需求。为此，我们开发了‘虚拟剂量师’模型，能够生成次优治疗计划的训练示例，并允许学员通过简单的自然语言提示改进计划质量，如同与剂量师沟通一般。剂量生成与修改过程准确、快速，且仅需适度资源。这是首个将剂量分布预测与自然语言处理结合的工作，构建了一个稳健的流程，既能生成次优训练计划，又能让学员练习关键的计划评审与优化技能，解决了当前临床教学模式面临的挑战。
原文摘要 · Abstract (English)
Effective education in radiotherapy plan quality review requires a robust, regularly updated set of examples and the flexibility to demonstrate multiple possible planning approaches and their consequences. However, the current clinic-based paradigm does not support these needs. To address this, we have developed 'Virtual Dosimetrist' models that can both generate training examples of suboptimal treatment plans and then allow trainees to improve the plan quality through simple natural language prompts, as if communicating with a dosimetrist. The dose generation and modification process is accurate, rapid, and requires only modest resources. This work is the first to combine dose distribution prediction with natural language processing; providing a robust pipeline for both generating suboptimal training plans and allowing trainees to practice their critical plan review and improvement skills that addresses the challenges of the current clinic-based paradigm.
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