[心血管放射学中的人工智能:图像采集,图像重建和工作流程优化]
Ann-Christin Klemenz1, Mathias Manzke1, Felix G Meinel2
1Universitätsmedizin Rostock, Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Schillingallee 36, 18057, Rostock, Deutschland.
Radiologie (Heidelberg, Germany)
|June 24, 2024
概括
人工智能 (AI) 通过改进图像采集和重建来增强心血管放射学. 虽然一些人工智能应用提供了明显的好处,但对其实际优势和风险的现实评估对于实施至关重要.
科学领域:
- 放射学 放射学是一门学科.
- 心血管成像 - 心血管成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 准备改变放射学工作流程.
- 心血管放射学是人工智能集成的一个关键领域.
研究的目的:
- 审查心血管放射学中的AI应用,重点关注图像采集,重建和工作流程优化.
- 批判性地讨论人工智能在心血管成像中的好处,机会和风险.
主要方法:
- 对心血管计算机断层扫描 (CT) 和磁共振成像 (MRI) 中既定和新兴的人工智能应用的审查.
- 基于专业文献和临床经验的批判性讨论.
主要成果:
- 人工智能使CT的剂量减少,MRI的获取速度更快,使用商业可用的重建技术.
- 基于AI的细分简化了CT和MRI的后处理.
- 诊断人工智能应用显示的实际好处不那么明显;存在诸如自动化偏差和成本效益方面的风险.
结论:
- 对人工智能的实际好处进行现实的评估对于医疗保健提供者来说至关重要.
- 导航快速发展的AI市场需要对个别医院或实践需求进行仔细评估.
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