用AI+人工协作优化放疗计划，提升效率与个性化水平
Towards Human-Centric Intelligent Treatment Planning for Radiation Therapy
- 构建人机协同的智能放疗规划框架，融合临床指南与自动化生成
- 有望将计划时间缩短至分钟级，实现个性化高质量方案
- 适合放疗医生与AI医疗系统研究者参考
当前放疗治疗规划受限于方案质量不佳、效率低下和成本高昂。本文探讨了治疗规划的复杂性，提出一种在人类监督下的以患者为中心的智能治疗规划（HCITP）框架，该框架整合临床指南，自动化生成计划，并支持操作员直接交互。预期HCITP可显著提升效率，或将规划时间压缩至分钟级别，同时提供个性化且高质量的治疗方案。文中还讨论了相关挑战及潜在解决方案。
原文摘要 · Abstract (English)
Current radiation therapy treatment planning is limited by suboptimal plan quality, inefficiency, and high costs. This perspective paper explores the complexity of treatment planning and introduces Human-Centric Intelligent Treatment Planning (HCITP), an AI-driven framework under human oversight, which integrates clinical guidelines, automates plan generation, and enables direct interactions with operators. We expect that HCITP will enhance efficiency, potentially reducing planning time to minutes, and will deliver personalized, high-quality plans. Challenges and potential solutions are discussed.
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