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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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[人工智能方法 - 心血管远程医疗的前景?]

Meike Hiddemann1,2, Kerstin Köhler2,1,3, Wilhelm Haverkamp3,2

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人工智能 (AI) 可以通过提高预测准确性和诊断来增强心力衰竭 (HF) 远程监测. 人工智能驱动的生物标志物,如对肺部拥堵的语音分析,对未来的远程医疗应用具有前途.

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科学领域:

  • 心脏病学 心脏病学
  • 医疗信息学 医疗信息学
  • 人工智能的人工智能

背景情况:

  • 德国数百万心力衰竭患者有资格接受远程监测.
  • 目前的心血管远程医疗护理极少集成人工智能 (AI).
  • 人工智能有可能显著提高远程监控中的预测能力.

研究的目的:

  • 探索人工智能应用在改善心力衰竭远程监测方面的潜力.
  • 突出人工智能驱动的生物标志物和远程医疗的决策支持系统.
  • 讨论人工智能在远程医疗中心优化诊断过程中的作用.

主要方法:

  • 审查目前在心血管远程医疗中的AI应用.
  • 分析AI在多个数据源的模式识别方面的潜力.
  • 讨论基于人工智能的新兴生物标志物,包括对肺部拥堵的语音分析.

主要成果:

  • 人工智能可以提高远程医疗传感器技术的预测准确度.
  • 语音分析是一种有前途的基于人工智能的生物标志物,用于检测肺堵塞.
  • 由人工智能驱动的决策支持系统可以优化远程医疗诊断.

结论:

  • 人工智能集成对于推进心力衰竭远程监测至关重要.
  • 未来的远程医疗中心可以利用人工智能来增强诊断能力.
  • 欧盟的人工智能法规和现实实验室为人工智能医疗创新提供了框架.