走向以人为中心的共同设计方法,用于人工智能检测放射治疗中计划和输送剂量之间的差异
Luca M Heising1,2, Frank Verhaegen1, Stefan G Scheib3
1Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Journal of applied clinical medical physics
|March 31, 2025
概括
本研究介绍了一种以人为中心的设计,用于人工智能 (AI) 系统来检测放射治疗 (RT) 错误. 使用剂量导向RT (DGRT) 共同创建的接口得到了用户的好评,这表明临床实施的潜力.
科学领域:
- 放射疗法是一种放射治疗.
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 人工智能在放射治疗工作流程中的有限临床实施表明了实施缺口.
- 人工智能系统和用户之间的错位导致了这一差距.
- 提出了一个以人为中心的设计方法来弥合人工智能驱动的错误检测的差距.
研究的目的:
- 为人工智能驱动的放射治疗治疗错误检测系统开发一个人类可解释的界面.
- 通过以用户为中心的设计来解决放射治疗中的AI实施差距.
主要方法:
- 一个5天的设计冲刺,涉及一个多学科的团队和一个商业公司.
- 为医学物理学家创建一个界面原型,使用剂量导向放射治疗 (DGRT) 和门户成像仪检测错误.
主要成果:
- 一个模拟的原型接口被开发出来,并得到了所有利益相关者的支持.
- 确定的主要特征包括AI确定度指标,可解释的AI,反选项和决策辅助工具.
- 专家用户对原型的反应是积极的.
结论:
- 一个新的,人类可解读的接口用于检测放射治疗错误的原型是使用共同创作策略.
- 开发的接口有助于剂量导向放射治疗 (DGRT) 工作流程.
- 利益相关者对设计方法和临床实施原型表示信心.
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