基于人工智能的临床诊断解决方案的评估 - 一种多视角,跨学科的方法
Thomas Karopka1, Carina Østervig Byskov2, Martin Dyrba3
1BioCon Valley GmbH.
Studies in health technology and informatics
|October 3, 2025
概括
临床AI-Pathway框架指导人工智能 (AI) 诊断在医疗保健中的整合. 这种系统的方法确保AI工具在临床工作流程中提供真正的价值.
科学领域:
- 医疗保健创新 医疗保健创新
- 医学诊断 医学诊断 医学诊断
- 医学中的人工智能
背景情况:
- 医疗保健中不断增加的数据量需要有效的诊断解决方案.
- 人工智能 (AI) 正在快速推进临床诊断,但整合挑战仍然存在.
- 在临床工作流程中评估新的AI诊断工具的真正价值是复杂的.
研究的目的:
- 开发一个结构化的框架,将基于人工智能的诊断工具整合到临床实践中.
- 引导从确定临床需求到实施认证AI诊断产品的过程.
- 确保人工智能解决方案在其整个生命周期中进行系统评估.
主要方法:
- 波罗的海地区的INTERREG项目"基于人工智能的临床诊断 (CAIDX) "开发了一个全面的蓝图.
- 在每个开发阶段和整个AI解决方案的生命周期中都采用了系统的评估方法.
- 纳入了各种利益相关者的观点和各种评估方法.
主要成果:
- 该CAIDX项目成功生产了"临床AI路径",一个端到端的框架.
- 该框架提供了用于系统评估AI诊断工具的方法和工具.
- 该框架确保与临床需求保持一致,并严格进行价值评估.
结论:
- 系统的,多视角的评估对于成功的AI诊断集成至关重要.
- "临床AI路径"为评估和实施AI解决方案提供了一个结构化的方法.
- 该框架促进了以价值为导向的采用和AI在临床诊断中的有效使用.
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