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相关概念视频

Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

299
Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion,...
299
Imaging Studies for Cardiovascular System II:Types of Echocardiography01:20

Imaging Studies for Cardiovascular System II:Types of Echocardiography

234
Echocardiography plays a role in assessing cardiac health and detecting heart conditions, with various types providing critical insights for diagnosis and treatment.
Types of Echocardiography
Transthoracic Echocardiography (TTE)
TTE is the most common type of echocardiogram which involves placing a transducer on the patient's chest, emitting sound waves to create heart images. TTE is invaluable for evaluating the heart's size, structure, and motion, making it particularly useful for...
234
Electrocardiogram01:29

Electrocardiogram

2.2K
An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
2.2K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

540
Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
540

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相关实验视频

Updated: Jun 10, 2025

Ultrasonic Assessment of Myocardial Microstructure
10:53

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

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使用心电图像进行结构性心脏病查的集体深度学习算法: PRESENT SHD

Lovedeep S Dhingra1, Arya Aminorroaya1, Veer Sangha1,2

  • 1Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.

medRxiv : the preprint server for health sciences
|October 17, 2024
PubMed
概括

一个AI-ECG工具,PRESENT-SHD,使用12导电心电图像有效地选结构性心脏病 (SHD). 这种可访问的技术有助于早期检测和风险分层,改善患者的治疗结果.

关键词:
人工智能的人工智能进行心血管查.深度学习 (Deep Learning) 是一种深度学习.心声回声扫描 (Echocardiography) 是一种心声回声扫描.电心电图 电心电图 电心电图预测建模预测建模结构性心脏病是什么

更多相关视频

Author Spotlight: Customized Light-Sheet Imaging for Investigating Myocardial Structures in Rodent Hearts
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Author Spotlight: Customized Light-Sheet Imaging for Investigating Myocardial Structures in Rodent Hearts

Published on: March 29, 2024

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相关实验视频

Last Updated: Jun 10, 2025

Ultrasonic Assessment of Myocardial Microstructure
10:53

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

5.4K
Author Spotlight: Customized Light-Sheet Imaging for Investigating Myocardial Structures in Rodent Hearts
05:58

Author Spotlight: Customized Light-Sheet Imaging for Investigating Myocardial Structures in Rodent Hearts

Published on: March 29, 2024

841

科学领域:

  • 人工智能在心脏病学中的应用
  • 对于医学成像的深度学习
  • 电心图分析分析 电心图分析

背景情况:

  • 早期发现结构性心脏病 (SHD) 对疾病管理至关重要.
  • 对于SHD诊断至关重要的心脏成像,面临着可访问性限制.

研究的目的:

  • 开发一种自动化的深度学习方法,用于从12导心电图像中检测和预测多个SHD.
  • 使用集体深度学习模型为SHDs创建一个复合选工具.

主要方法:

  • 开发了卷积神经网络模型,以从心电图片中检测单个SHD,并根据胸回心回声图进行SHD定义.
  • 创建了一个整体XGBoost模型,PRESENT-SHD,用于复合SHD选.
  • 在多家美国医院验证的PRESENT-SHD,ELSA-巴西研究和英国生物库用于查和风险分层.

主要成果:

  • 在持有测试组中,PRESENT-SHD在持有测试组中获得了0.886的AUROC,其灵敏度为90%和特异性为66%.
  • 该模型在不同的人口分组,心电图格式,甚至是智能手机捕获的心电图中显示出一致的性能.
  • 一个积极的PREZENT-SHD屏幕显示,新发性SHD/心力衰竭的风险增加了2至4倍,独立于其他因素.

结论:

  • PRESENT-SHD是一种经过验证的AI-ECG工具,能够从12导电图像中识别各种SHD.
  • 这项技术提供了一种强大,可扩展和可访问的方法,用于自动化SHD查和风险分层.