临床医生知情的XAI评估检查清单与AI驱动的临床决策支持系统的指标 (CLIX-M)
Aida Brankovic1,2, David Cook3, Jessica Rahman4
1CSIRO's Australian eHealth Research Centre, Herston, QLD, Australia. aida.brankovic@csiro.au.
NPJ digital medicine
|June 14, 2025
概括
临床可解释的人工智能 (XAI) 缺乏标准化的评估指标. 我们创建了一个临床医生知情的检查清单,以指导XAI报告,旨在提高对医疗保健的信任和采用.
科学领域:
- 人工智能在医学中的应用
- 临床信息学 临床信息学
- 卫生技术评估 卫生技术评估
背景情况:
- 临床可解释AI (XAI) 模型的快速扩散.
- 对人工智能解释的不明确目的和不切实际的期望感到担忧.
- 没有标准化指标来评估XAI的有效性.
研究的目的:
- 为了解决临床XAI缺乏标准化的评估指标的问题.
- 提出一个XAI方法透明报告的框架.
- 加强信任,降低风险,促进AI在临床环境中的采用.
主要方法:
- 制定一个14项检查清单.
- 由临床终端用户 (临床医生) 提供信息.
- 嵌入了临床,机器学习和决策属性.
主要成果:
- 第一个临床医生为XAI评估提供信息的检查清单.
- 一个标准化XAI报告的基本工具.
- 在医疗保健中迈向透明和可靠的人工智能的一步.
结论:
- 开发的检查清单是标准化临床XAI的第一步.
- 对XAI方法的透明报告对于信任和采用至关重要.
- 这项工作旨在确定应用XAI的真正临床潜力.
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