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相关概念视频

Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

668
IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
668
Ultrasonography01:17

Ultrasonography

8.2K
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...
8.2K
Ultrasound I: Abdominal Ultrasonography01:20

Ultrasound I: Abdominal Ultrasonography

2.4K
Introduction:
Abdominal ultrasonography, commonly known as abdominal ultrasound, is a vital, non-invasive medical imaging technique widely used in healthcare.
Procedure:
This diagnostic tool allows the clinician to visually inspect internal structures within the abdomen, including vital organs such as the liver, gallbladder, pancreas, kidneys, and spleen.
The abdominal ultrasound process begins with applying a special gel to the patient's skin over the abdomen. This gel enhances the...
2.4K
Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

Imaging Studies I: Kidney, Ureter, and Bladder Studies

567
Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
567
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

347
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
347

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相关实验视频

Updated: Mar 13, 2026

Author Spotlight: Developing a Bedside Protocol for Kidney and Genitourinary Ultrasonography
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基于深度学习的反模型的开发,以帮助医学学生学习脏超声波采集:混合方法研究研究

Andy Cheuk Nam Hwang1, Rahul Singh1, Elizabeth Ann Barrett2

  • 1Department of Diagnostic Radiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Rd, Pok Fu Lam, Hong Kong, China, +852 22553307.

JMIR medical education
|March 11, 2026
PubMed
概括

深度学习模型为护理点超声波培训提供自动反,增强医学学生的自我调节学习和技能获取. 这种工具对改善超声波教育充满希望.

关键词:
自动反系统自动反系统卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.护理中心的超声波.性超声波学习学习

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相关实验视频

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科学领域:

  • 医疗教育 技术 技术 医学教育
  • 医疗保健中的人工智能
  • 护理中心超声波检查

背景情况:

  • 在医疗课程中整合 Point-of-care超声波 (POCUS) 需要教师的专业知识来进行有效的培训.
  • 越来越需要可扩展的解决方案来支持POCUS指令和反.

研究的目的:

  • 开发和评估基于深度学习的反模型,作为POCUS培训的辅助工具.
  • 评估人工智能反模型对医学学生学习经验和技能获取的影响.

主要方法:

  • 在2807个脏超声波图像上训练了一种级联深度学习模型,用于自动化质量评估.
  • 该模型将图像分为最佳,次优和不正确的类别,次优图像进一步分为子类别.
  • 混合方法分析,包括重点小组和问卷,评估学生反和欧安组织的分数在实施前和后进行了比较.

主要成果:

  • 深度学习模型鼓励自我调节的学习,尽管课程和硬件问题提出了挑战.
  • 学生对模型的可用性和帮助度的满意度从32%到76%不等.
  • 目标结构化临床检查 (OSCE) 平均得分在实施后呈现改善趋势 (9.73/10对比之前的9.35-9.45/10).

结论:

  • 基于深度学习的反模型已成功开发并部署用于床边超声波培训.
  • 人工智能工具促进了积极的学习参与,并增强了初学者医学学生的自我调节学习.
  • 这项创新表明了改善医学教育中的超声波技能获取的潜力.