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相关概念视频

Pulse rhythm01:30

Pulse rhythm

805
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
805

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相关实验视频

Updated: Jul 6, 2025

A New Single Chamber Implantable Defibrillator with Atrial Sensing: A Practical Demonstration of Sensing and Ease of Implantation
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通过基于人工智能的算法提高可插入心脏监测器的诊断性能.

Eliot Crespin1, Arnaud Rosier1,2, Issam Ibnouhsein1

  • 1Implicity SAS, Paris, France.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
|January 3, 2024
PubMed
概括
此摘要是机器生成的。

一个人工智能 (AI) 工具显著减少了可插入心脏监视器 (ICM) 的假阳性诊断. 这种基于人工智能的ILR-ECG分析仪TM保持了高灵敏度,减轻了护理人员的工作负担.

关键词:
节律失常 (arrhythmia) 是一种心律失常.人工智能的人工智能是人工智能.可植入的循环记录器插入式心脏监测器是可以插入的心脏监测器.机器学习是机器学习.远程监控 远程监控 远程监控

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科学领域:

  • 心脏病学 心脏病学
  • 医疗技术 医疗技术 医学技术
  • 人工智能的人工智能

背景情况:

  • 插入式心脏监测器 (ICM) 越来越多地用于心脏监测.
  • 来自ICM的高错误阳性 (FP) 诊断率给医疗保健提供者带来了巨大的工作负担.
  • 有效验证ICM数据对于患者护理至关重要.

研究的目的:

  • 评估基于AI的ILR-ECG分析仪TM (ILR-ECG-A) 在重新分类ICM事件中的性能.
  • 为了尽量减少ICM的错误阳性诊断,同时保持高灵敏度.
  • 评估人工智能的潜力,以减少与ICM数据审查相关的临床负担.

主要方法:

  • 通过ImplicityTM平台监测的546名ICM患者的队列进行了分析.
  • 每位患者选择了一个异常事件,并通过ILR-ECG-A进行分析.
  • 节目与评审委员会 (AC) 审查的准确性进行了比较.

主要成果:

  • 在879次异常ICM发作中,32.2%是假阳性 (FP).
  • ILR-ECG-A将76.0%的FP发作重新归类为正常.
  • 人工智能算法证实了98.6%的真正异常发作,显示出高灵敏度.

结论:

  • 基于AI的ILR-ECG-A显著减少了ICM的错误阳性诊断.
  • 该工具保持高灵敏度 (>98%) 检测真正的异常.
  • 预计这种AI解决方案的实施将大大减轻ICM事件审查的临床工作量.