脑卒中成像中的人工智能:对当前应用和局限性的审查
Peter I Kamel1, Max Wintermark1
1Division of Diagnostic Imaging, Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States.
Seminars in neurology
|August 14, 2025
概括
人工智能 (AI) 显著帮助中风成像,通过自动检测,分拣和定量评估来加速诊断和治疗. 然而,为了有效的现实应用,必须解决诸如偏见和临床整合之类的挑战.
科学领域:
- 神经学 神经学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 脑卒中是一个重大的全球健康挑战,需要快速诊断和治疗.
- 时间敏感的干预措施对于改善中风护理患者结果至关重要.
研究的目的:
- 审查当前在中风成像中的人工智能 (AI) 应用.
- 评估人工智能工具在中风护理中的局限性和现实世界的临床整合挑战.
主要方法:
- 在中风成像中对AI应用的文献综述.
- 分析人工智能对诊断,分类,定量评估,预测和图像采集的影响.
- 检查人工智能相关的偏见和实施障碍.
主要成果:
- 人工智能在自动检测,快速分组,定量性心脏病发作评估,结果预测和加速图像采集方面产生了重大影响.
- 关键的局限性包括在现实世界的临床整合中可能引入偏见和困难.
结论:
- 人工智能提供了强大的工具来增强中风成像工作流程,并改善患者护理.
- 解决诸如偏见和整合挑战等局限性对于AI在临床实践中成功采用至关重要.
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