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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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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.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
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穿戴式生物电子的最新进展,以及与人工智能的前景.

Xuting Chen1, Huiwen Xiong2, Junsheng Chen3

  • 1Department of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.

ACS applied materials & interfaces
|October 29, 2025
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概括

可穿戴的治疗术结合了诊断和治疗,用于实时监测疾病. 这些由人工智能增强的智能设备正在通过改进的诊断和治疗策略,彻底改变精准医学.

关键词:
在商业化,商业化.机器学习是机器学习.精准医学是一门精准医学.他们是天文学家.可穿戴设备可以穿戴.

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科学领域:

  • 生物医学工程 生物医学工程
  • 纳米技术 纳米技术
  • 人工智能的人工智能

背景情况:

  • 可穿戴的theranostics集成诊断和治疗功能,用于实时健康监测.
  • 目前的应用包括智能隐形眼镜,带,带和牙贴片.
  • 这些设备为个性化医疗和持续的疾病管理提供了潜力.

研究的目的:

  • 提供可穿戴式超音波设备及其应用的全面审查.
  • 分析机器学习在提高预测精度方面的作用.
  • 总结商业化状况,并讨论可穿戴的theranostics的未来方向.

主要方法:

  • 关于可穿戴的感官设备和人工智能集成的文献评论.
  • 分析用于诊断,图像分析和预测分析的机器学习技术.
  • 商业化数据的总结和临床翻译中的挑战.

主要成果:

  • 可穿戴的theranostics在早期诊断,治疗和实时监测方面显示出潜力.
  • 机器学习显著提高了theranostic系统的精度和自主性.
  • 商业化正在进展,人工智能辅助系统正在向临床应用方向发展.

结论:

  • 可穿戴的治疗术代表了个性化医学的范式转变.
  • 通过人工智能增强的可穿戴的theranostics促进智能临床翻译和部署.
  • 应对挑战对于广泛采用和商业成功至关重要.