干预放射学报告标准和人工智能研究评估 (iCARE) 检查清单
James T Anibal1,2, Hannah B Huth3, Tom Boeken4
1Center for Interventional Oncology, NIH Clinical Center, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health (NIH), Bethesda, MD, 20892, USA. anibal.james@nih.gov.
Cardiovascular and interventional radiology
|June 25, 2025
概括
本研究介绍了iCARE检查清单,以确保干预放射学 (IR) 中强大的人工智能 (AI) 系统. 检查清单指导人工智能开发从代码到临床,以获得更安全,更普遍的IR技术.
科学领域:
- 医学成像和人工智能 医学成像和人工智能
- 干预性放射学研究 干预性放射学研究
背景情况:
- 人工智能 (AI) 越来越多地用于干预放射学 (IR).
- 确保AI系统在IR研究和实践中的稳定性至关重要.
- 新型人工智能技术在临床整合之前需要进行标准化评估.
研究的目的:
- 在IR中引入全面的标准和评估检查清单 (iCARE) 对AI.
- 确保人工智能应用在干预放射学中的稳定性和可靠性.
- 支持开发安全和可通用的AI技术,用于IR.
主要方法:
- 开发iCARE (干预性放射学AI强度评估) 检查清单.
- 检查清单涵盖了从"代码到诊所"的AI开发管道.
- 关键领域包括数据集策划,培训,可解释性,隐私,偏见,可重现性和部署.
主要成果:
- 该iCARE检查清单提供了一个结构化的框架,用于评估AI在IR.
- 它解决了人工智能开发和部署的关键方面.
- 促进AI系统在干预放射学中临床使用的评估.
结论:
- 该iCARE检查清单旨在提高AI在IR中的安全性和通用性.
- 它支持将AI整合到IR工作流程中,以改善患者护理和结果.
- 标准化评估对于医疗实践中可靠的AI至关重要.
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