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Ultrasonography01:17

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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
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深度学习在风湿学图像解释中的深度学习.

Berend C Stoel1, Marius Staring2, Monique Reijnierse3

  • 1Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands. b.c.stoel@lumc.nl.

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深度学习在分析医学图像的类风湿病方面表现出色,优于传统方法. 对于临床医生来说,了解其能力和局限性对于调整诊断和监测工具至关重要.

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科学领域:

  • 放射学和风湿病学 放射学和风湿病学
  • 医学成像分析 医学成像分析
  • 人工智能在医学中的应用

背景情况:

  • 人工智能 (AI),特别是深度学习 (DL),正在越来越多地影响各种领域,包括在风湿病学中的初始应用.
  • 虽然DL在低维数值数据上可能并不总是胜过传统方法,但它在图像分析中表现出卓越的性能,超过了传统技术.
  • 在医疗成像中整合DL需要了解其技术背景,以便有效的临床应用.

研究的目的:

  • 提供深度学习技术的概述,用于在风湿病学中进行自动化图像分析.
  • 审查目前在风湿性疾病的放射性成像中的深度学习应用.
  • 批判性地评估DL的局限性,潜在的错误和临床后果,用于风湿病学家和放射学家.

主要方法:

  • 对适用于医疗图像分析的深度学习方法的审查.
  • 发表的深度学习应用在风湿性放射学中的调查.
  • 对DL性能,局限性和临床影响进行批判性评估.

主要成果:

  • 深度学习在以图像为基础的任务中取得了显著的成功,通常表现优于已有的图像处理技术.
  • 目前在风湿病学中的应用重点是使用放射性图像检测,量化,预测和监测风湿病.
  • 在临床实践中确定了DL的潜在陷和局限性.

结论:

  • 深度学习为风湿病学中分析放射图像提供了强大的工具,增强了诊断和监测能力.
  • 临床医生必须发展对DL的基本理解,以利用其益处并减轻风险.
  • 临床角色和合作的调整对于有效地将DL纳入类风湿病学实践至关重要.