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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
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[骨科瘤学中的人工智能]

Sebastian Breden1, Paulina Seidl2, Sarah Consalvo2

  • 1Klinik und Poliklinik für Orthopädie und Sportorthopädie, TUM Klinikum München, Ismaninger Str. 22, 81675, München, Deutschland. Sebastian.breden@mri.tum.de.

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人工智能 (AI) 通过改善罕见肌肉骨瘤的诊断和治疗计划来增强骨科瘤学. 本综述探讨了人工智能应用,挑战和未来的临床整合,以获得更好的患者结果.

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差异诊断是一种差异诊断.图像分析,计算机辅助.机器学习是机器学习.骨质肉瘤骨质肉瘤是什么预测 预后 预测 预测

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科学领域:

  • 整形瘤学 整形瘤学
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 肌肉骨瘤是罕见的,这给诊断和治疗带来了挑战.
  • 目前的临床工作流程可以通过先进的技术进行优化.
  • 人工智能 (AI) 在医学诊断和治疗规划方面提供了新的机会.

研究的目的:

  • 审查人工智能在骨科瘤学中的当前应用.
  • 讨论基于人工智能的图像分析,细分和预后建模.
  • 为AI在这个领域的潜力和局限性提供一个现实的视角.

主要方法:

  • 关于人工智能在骨科瘤学中的应用的文献综述.
  • 对图像分析,细分和预后建模中的AI技术的分析.
  • 讨论技术基础,局限性和道德考虑.

主要成果:

  • 人工智能在差异诊断,手术规划和工作流程优化方面展示了潜力.
  • 基于人工智能的图像分析和细分是关键的技术进步.
  • 使用人工智能的预后建模可以帮助治疗规划.

结论:

  • 人工智能为改善骨科瘤诊断和治疗规划提供了巨大的潜力.
  • 解决局限性和道德问题对于成功的临床整合至关重要.
  • 需要进一步的研究和开发,才能充分实现AI在这个专业领域的能力.