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相关概念视频

Upper GI Series: Barium Swallow01:24

Upper GI Series: Barium Swallow

96
The Barium Swallow Study, or a Barium Esophagogram, is a diagnostic imaging method used to visualize the upper gastrointestinal (GI) tract, including the esophagus, stomach, and small intestine. It employs barium sulfate, a radiopaque contrast material, to provide clear images of the upper digestive system, helping to identify abnormalities, diseases, or structural issues.
Purpose and Procedure
Patients undergoing this procedure ingest a liquid containing barium sulfate with a chalky...
96
Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy01:26

Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy

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This lesson explores three gastrointestinal imaging techniques: radionuclide testing, colonic transit studies, and virtual colonoscopy.
Radionuclide Testing
Radionuclide testing is a sophisticated medical technique for assessing gastrointestinal motility. It focuses on gastric emptying and colonic transit time. Radioactive markers track the movement of food through the digestive system, providing insights into gastrointestinal disorders.
In gastric emptying studies, a meal's liquid and...
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Endoscopic Procedures III: Video Capsule Endoscopy01:28

Endoscopic Procedures III: Video Capsule Endoscopy

66
Capsule endoscopy, or wireless or video capsule endoscopy, is a diagnostic procedure for examining the entire gastrointestinal tract. Patients swallow a capsule about the size of a vitamin tablet. The capsule is equipped with a transmitter, a battery, an LED light source, and a color video camera to capture images throughout the gastrointestinal tract. This procedure is particularly useful for diagnosing conditions such as Crohn's disease, ulcerative colitis, tumors, polyps, ulcers,...
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相关实验视频

Updated: May 24, 2025

Adapting Human Videofluoroscopic Swallow Study Methods to Detect and Characterize Dysphagia in Murine Disease Models
08:32

Adapting Human Videofluoroscopic Swallow Study Methods to Detect and Characterize Dysphagia in Murine Disease Models

Published on: March 1, 2015

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优化修改巴吞检查工作流程:在吞功能评估中自动化预分析视频排序.

Shitong Mao, Mohanmed A Naser, Sheila Nida Buoy

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    概括

    这项研究介绍了一个深度学习工具,用于自动化修改巴吞 (MBS) 考试分析. 人工智能有效地分类视频定向并识别侦察片段,为临床医生节省了关键吞功能评估的宝贵时间.

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    Coordinate Mapping of Hyolaryngeal Mechanics in Swallowing
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    Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing
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    Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing

    Published on: December 1, 2023

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    相关实验视频

    Last Updated: May 24, 2025

    Adapting Human Videofluoroscopic Swallow Study Methods to Detect and Characterize Dysphagia in Murine Disease Models
    08:32

    Adapting Human Videofluoroscopic Swallow Study Methods to Detect and Characterize Dysphagia in Murine Disease Models

    Published on: March 1, 2015

    21.1K
    Coordinate Mapping of Hyolaryngeal Mechanics in Swallowing
    14:13

    Coordinate Mapping of Hyolaryngeal Mechanics in Swallowing

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    Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing
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    科学领域:

    • 医学成像分析 医学成像分析
    • 医疗保健中的人工智能
    • 吞障碍 诊断 诊断 吞障碍

    背景情况:

    • 修改巴吞 (MBS) 检查使用视频光镜来评估吞功能.
    • 目前的MBS分析涉及手动分类视频方向 (AP,横向) 和侦察片段.
    • 有效的预分析对于准确解释吞动态和临床测量至关重要.

    研究的目的:

    • 开发和验证一种深度学习解决方案,用于自动化MBS视频片段的预分析.
    • 为了简化视频定向 (AP与横向) 和侦察片段的识别.
    • 提高临床工作流程的效率,以评估吞功能.

    主要方法:

    • 在172个MBS考试中的2,315个视频剪辑上训练和测试了一个深度学习模型.
    • 该模型被评估为其区分AP从侧向视图和侦察从玻尿酸吞片段的能力.
    • 采用多任务学习方法,将定向和任务识别结合起来.

    主要成果:

    • 该模型在区分AP与横向视图方面,实现了超过99%的级和100%的视频级准确性.
    • 视频级别的准确性来区分侦察员和玻尿酸吞任务达到了86%.
    • 多任务学习方法提高了侦察/玻鲁斯差异化准确率,达到91%.

    结论:

    • 使用深度学习的自动视频分类显著提高了MBS考试预分析的效率.
    • 这项技术允许临床医生更多地专注于临床相关的测量,如PAS和DIGEST.
    • 开发的AI工具是基于深度学习的高级图像分析在吞研究中的关键先决条件.