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相关概念视频

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.
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Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
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人工智能及其在预测周围假肢关节感染方面的作用

Diana Elena Vulpe1,2, Catalin Anghel3, Cristian Scheau1,4

  • 1The "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.

Biomedicines
|August 28, 2025
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概括

人工智能 (AI) 在改善关节置换后周围假肢感染 (PJIs) 的早期诊断方面表现有前途. 这篇评论探讨了人工智能

关键词:
关节整形人工智能关节的机器学习周围假肢关节感染

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科学领域:

  • 整形外科手术
  • 医疗信息学
  • 医疗保健中的人工智能

背景情况:

  • 周围假肢关节感染 (PJIs) 是整体关节置换的主要并发症,影响患者的生活质量和医疗费用.
  • 早期及准确的PJI诊断至关重要,
  • 人工智能为医疗保健应用提供先进的数据分析功能.

研究的目的:

  • 审查人工智能在预测PJI中的当前应用.
  • 探索使用的AI算法类型及其性能.
  • 确定用于PJI诊断的AI的局限性和挑战.

主要方法:

  • 对利用人工智能进行PJI预测的研究进行文献审查.
  • 分析人工智能算法类型和报告的性能指标.
  • 讨论临床实施的挑战.

主要成果:

  • 人工智能算法显示出提高风险因素评估和预测PJI等并发症的潜力.
  • 目前正在探索各种人工智能算法,其性能指标在研究中各不相同.
  • 在临床应用方面存在重大挑战和局限性.

结论:

  • 人工智能有助于提前检测和管理PJI.
  • 需要进一步的研究和验证来克服实施障碍.
  • 人工智能整合可以带来更高效,更准确的PJI诊断.