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相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Ultrasonography01:17

Ultrasonography

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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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Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
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相关实验视频

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A Novel Application of Musculoskeletal Ultrasound Imaging
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人工智能在肌肉骨成像中的应用

M Moein Shariatnia1, Sara Bagherieh2, Farbod Semnani3

  • 1School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Current reviews in musculoskeletal medicine
|October 31, 2025
PubMed
概括

人工智能 (AI) 和深度学习 (DL) 正在通过提高诊断准确性和效率来改变肌肉骨 (MSK) 成像. 临床整合的挑战仍然存在,但人工智能的进步为在患者护理中更广泛采用提供了解决方案.

关键词:
人工智能的人工智能是人工智能.自动图像分析自动化图像分析肌肉骨成像技术 肌肉骨成像技术整形外科手术 整形外科手术

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科学领域:

  • 整形外科成像 整形外科成像
  • 人工智能的人工智能
  • 计算机视觉 计算机视觉
  • 深度学习 (Deep Learning) 是一种深度学习.

背景情况:

  • 越来越多的骨科成像研究需要先进的工具来提高诊断准确性,降低成本和医生工作量管理.
  • 人工智能 (AI),特别是计算机视觉和深度学习 (DL),为肌肉骨 (MSK) 成像挑战提供了越来越多的解决方案.

研究的目的:

  • 审查人工智能的最新应用,包括计算机视觉和DL,在MSK成像中跨越各种子专业.
  • 确定当前阻碍AI在MSK成像中的临床整合的挑战和局限性.

主要方法:

  • 关于人工智能在肌肉骨成像中的应用的最新文献的综述.
  • 专注于计算机视觉和深度学习技术.

主要成果:

  • 人工智能,特别是DL,在骨折检测,细分,手术导航,瘤分析,骨龄估计和密度测量方面表现出多功能性.
  • 人工智能应用扩展到体育医学和护理点技术,提高诊断准确性,减少解释时间,提高效率.
  • 尽管有希望的结果,但模型通用性,数据质量和计算需求等挑战阻碍了现实世界的临床部署.

结论:

  • 人工智能具有显著的潜力,可以彻底改变MSK成像,改善诊断性能,速度和成本效益.
  • 人工智能的进步,如基础模型和提高效率,正在为加速临床整合铺平道路.
  • 克服部署挑战是实现AI在MSK成像中增强患者护理的全部潜力的关键.