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Issues And Trends In Healthcare Delivery System01:29

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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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人工智能在计划骨科护理中的应用

Elena Chiara Thalia Georgiakakis1, Akib Majed Khan2, Kartik Logishetty2

  • 1Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.

SICOT-J
|November 21, 2024
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概括

人工智能 (AI) 在骨科护理中提供了变革性的潜力,解决了诸如长时间的外科等待时间和改善患者结果等挑战. 本综述探讨了整个患者旅程中的AI应用,以增强肌肉骨卫生服务.

科学领域:

  • 整形外科手术 整形外科手术
  • 医学的人工智能 (AI)

背景情况:

  • 肌肉骨病理导致全球严重的残疾,影响1.71亿人.
  • 随着COVID-19大流行和老龄化人口加剧的患者数量增加和医疗保健系统压力,导致骨科手术等待时间延长.
  • 病人的病情恶化和较差的结果与延迟的骨科干预有关.

研究的目的:

  • 提供人工智能 (AI) 在骨科应用的全面概述.
  • 阐明人工智能的潜力,以提高患者护理和系统效率在整个外科手术环境.
  • 探索人工智能在解决当前和未来对骨科服务需求中的作用.

主要方法:

  • 关于人工智能在骨科护理中的应用现有文献的综述.
  • 在手术前,手术内和手术后阶段对人工智能应用进行分类.
  • 分析人工智能对患者结果和医疗保健系统效率的影响.

主要成果:

  • 人工智能展示了各种应用,包括自动诊断成像,临床决策支持,植入物设计优化,机器人手术和远程患者监控.
  • 这些人工智能技术旨在改善患者护理和简化医疗保健系统运营.
  • 人工智能集成提供了一种可行的策略,用于管理骨科中不断增长的服务需求.
关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.机器学习是机器学习.有计划的骨科护理.

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结论:

  • 人工智能对彻底改变计划骨科护理具有重大前景.
  • 人工智能可以通过解决外科手术前途的挑战来提高效率和患者的结果.
  • 进一步整合人工智能技术对于骨科服务的未来至关重要.