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相关概念视频

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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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Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
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相关实验视频

Updated: May 12, 2025

Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles
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使用基于肌肉超声波图像的卷积神经网络模型诊断萨尔科佩尼亚:前性多中心研究

Zi-Tong Chen1, Xiao-Long Li1, Feng-Shan Jin2,3,4

  • 1Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China.

Journal of medical Internet research
|May 6, 2025
PubMed
概括

这项研究开发了SARCO模型,使用超声波图像进行方便的肉症诊断. 该模型在识别肉症方面表现出高准确性,简化了早期检测.

关键词:
人工智能的人工智能是人工智能.卷积神经网络是一种卷积神经网络.多中心研究多中心研究.这种类型的麻症是sarcopenia.超声波超声波是指超声波的使用.

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科学领域:

  • 老年学是一门学科.
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 检测 Sarcopenia 是至关重要的,但复杂和难以接近.
  • 目前的查方法涉及肌肉质量,力量和功能评估.
  • 需要简化和易于使用的诊断工具来早期检测肉症.

研究的目的:

  • 开发一个卷积神经网络 (CNN) 模型,使用超声波图像来诊断肉症.
  • 为了简化和提高萨尔科佩尼亚诊断过程的可访问性.
  • 为了确定最有效的数据类型和模型架构,以准确检测肉症.

主要方法:

  • 一项前性研究评估了357名参与者,收集了肌肉超声波图像,临床和实验室数据.
  • 开发了单模,双模和多模模型,并对诊断性能进行了比较.
  • 最佳模型 (SARCO模型) 被确定并通过外部和概念验证测试进行验证.

主要成果:

  • 基于超声波图像的单模模型显示了最高的性能 (AUC:0.827,F1得分:0.738).
  • 超声波图像是诊断肉症的多式模式中的主要贡献者.
  • 最终的SARCO模型在外部 (AUC:0.801) 和概念验证 (AUC:0.757) 验证中取得了令人满意的性能.

结论:

  • 超声波图像通过人工智能模型在萨尔科佩尼亚诊断中发挥着主导作用.
  • 采用超声波图像的SARCO模型为诊断肉类的诊断提供了一个方便而准确的解决方案.
  • 基于人工智能的超声波分析有望改善早期发现和管理肉症.