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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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骨科手术中的人工智能:当前的应用,挑战和未来的方向

Fei Han1,2, Xiao Huang1,3, Xin Wang1,3

  • 1Department of Orthopedics Xijing Hospital Air Force Medical University Xi'an China.

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|June 26, 2025
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概括

人工智能 (AI) 正在通过智能应用来彻底改变骨科手术,以提高精度和个性化. 这篇评论批判性地分析了人工智能的进步,挑战和改善临床翻译的未来方向.

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.多式联网数据融合整形外科手术 整形外科手术机器人辅助手术是一种机器人辅助的手术.

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科学领域:

  • 整形外科手术 整形外科手术
  • 医疗人工智能 医疗人工智能
  • 手术机器人手术机器人手术机器人手术机器人

背景情况:

  • 人工智能 (AI) 越来越多地被整合到骨科手术中,为提高精度和个性化提供了潜力.
  • 关键的启用技术包括深度学习,机器人技术和多式联络数据融合,这些技术已经证明了显著的优势.
  • 尽管取得了进展,但挑战仍然存在,包括有限的实时决策自主权,数据碎片化,标准化问题以及不断变化的伦理/监管环境.

研究的目的:

  • 系统地审查当前的进展,挑战和人工智能在骨科手术中的未来方向.
  • 分析整个外科连续的AI应用,从术前规划到术后监测.
  • 为技术翻译提供框架,指导跨学科的合作.

主要方法:

  • 对骨科外科人工智能应用的系统文献综述.
  • 对人工智能集成的技术,临床和伦理观点的分析.
  • 制定了"感知-决策-执行"智能闭环.
  • 为临床翻译引入"算法-硬件-伦理三位一体"框架.

主要成果:

  • 人工智能在术前规划,术内辅助和术后康复/监测方面具有显著的优势.
  • 确定的挑战包括数据仓库,标准化缺口和监管障碍.
  • 该审查概述了对人工智能应用的综合方法,并提出了成功临床转换的框架.

结论:

  • 人工智能对骨科手术具有变革性的潜力,推动精度和个性化.
  • 解决当前的挑战对于加速人工智能的临床转化和实现其全部好处至关重要.
  • 进一步的研究和跨学科的合作对于推进人工智能在骨科是必不可少的.