人工智能在肺部SABR规划中的临床疗效:一个比较的回顾性分析
Kylie Unicomb1, Shamira Cross2, Sean White1
1Nepean Cancer and Wellness Centre, Department of Radiation Oncology, Nepean Hospital, Kingswood, NSW 2747 Australia.
概括
人工智能 (AI) 显著改善了肺部立体性除性身体放射治疗 (SABR) 计划. 人工智能辅助的计划,特别是与人类的投入,提高治疗质量和效率,减少未满足的规划标准.
科学领域:
- 辐射瘤学 辐射瘤学
- 医学物理 医学物理
- 医疗保健中的人工智能
背景情况:
- 肺部立体性废除体辐射疗法 (SABR) 需要精确的治疗计划,以获得最佳的结果.
- 当前的规划工作流程可能耗时,并可能在实现一致的计划质量方面带来挑战.
研究的目的:
- 评估一个集成的人工智能 (AI) 规划工具在肺部SABR中的有效性.
- 与传统方法相比,评估AI对治疗计划质量和效率的影响.
主要方法:
- 19个肺部SABR病例使用AI进行了重新规划,创建了AI和AI+人类队伍.
- 计划根据部门的标准进行评估,包括时间效率.
- 辐射瘤学家 (RO) 进行的盲目审查评估了计划质量.
主要成果:
- 未满足的规划标准从3.3% (人类) 降至2.6% (人工智能) 和1.84% (人工智能+人类).
- 人工智能辅助的计划,特别是有人类投入的计划,是在盲目审查中选择的.
- 人工智能辅助计划生成的平均时间为1.08小时.
结论:
- 集成到肺部SABR规划中的AI可以提高计划质量和效率.
- 人类的专业知识与人工智能相结合,导致优越的治疗计划.
- 人工智能工具在优化放射治疗规划工作流程方面显示出重大前景.
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