Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

180
The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
180
Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

321
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,...
321

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

An artificial intelligence model to detect abnormal ejection fraction from non-contrast chest computed tomography: the CT-LVEF study.

European heart journal. Digital health·2026
Same author

Automated AI-Based Aortic Measurements From Attenuation Correction CT as an Adjunctive Cardiovascular Risk Biomarker: An International Multicenter Study.

Circulation. Cardiovascular imaging·2026
Same author

Normal Values for <sup>13</sup>N-Ammonia PET-derived Metrics in Heart Transplant Patients.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology·2026
Same author

A Ruptured Dacryocystocele Mimicking an Infantile Hemangioma.

Pediatric dermatology·2026
Same author

A case of artificial intelligence-enhanced diagnostics leading to heart transplantation.

Nature medicine·2026
Same author

Revisiting Perfusion in the Forgotten Right Ventricle: Artificial Intelligence-Enhanced Quantification on PET/CT.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2026
Same journal

Great debate: medical treatment of heart failure with reduced ejection fraction will rely on four foundational drugs.

European heart journal·2026
Same journal

The surgical collateralization theory: has the beautiful hypothesis been killed by the ugly facts?

European heart journal·2026
Same journal

Beyond single measurement: additional considerations for high-sensitivity C-reactive protein in cardiovascular risk prediction.

European heart journal·2026
Same journal

Brain mineralocorticoid receptor activation and antagonism in heart failure with preserved ejection fraction: a hypothesis.

European heart journal·2026
Same journal

Myths and misconceptions about high-sensitivity C-reactive protein as a marker of residual inflammatory risk.

European heart journal·2026
Same journal

Vascular Ehlers-Danlos syndrome: should we treat asymptomatic patients?

European heart journal·2026
查看所有相关文章

相关实验视频

Updated: Jun 30, 2025

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
06:34

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

Published on: October 28, 2020

3.9K

深度学习用于检测胸部X射线中的左心室结构异常.

Shreyas Bhave1, Victor Rodriguez1, Timothy Poterucha2

  • 1Division of Cardiology and Department of Biomedical Informatics, Columbia University Irving Medical Center, 622 West 168th Street, PH20, NewYork, NY 10032, USA.

European heart journal
|March 19, 2024
PubMed
概括
此摘要是机器生成的。

深度学习模型可以准确地检测心脏异常,如左心室缩和扩张从胸部X射线,帮助早期心力衰竭的识别. 这项研究为未来的创新提供了有价值的数据集.

关键词:
胸部X射线图 胸部X射线图深度学习是一种深度学习.扩大了左心室的扩张早期检测 早期检测心脏衰竭是因为心脏衰竭.左心室过度缩小的情况

更多相关视频

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

490
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.4K

相关实验视频

Last Updated: Jun 30, 2025

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
06:34

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

Published on: October 28, 2020

3.9K
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

490
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.4K

科学领域:

  • 心脏病学 心脏病学
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 早期发现心脏结构异常对于治疗心力衰竭至关重要.
  • 胸部X射线 (CXR) 是常见的诊断工具,具有可扩展查的潜力.
  • 深度学习 (DL) 可以分析CXR,寻找B期心力衰竭或更严重的症状.

研究的目的:

  • 使用CXRs开发一个DL模型来识别严重的左心室缩 (SLVH) 和扩张的左心室 (DLV).
  • 评估模型在检测这些心脏结构异常方面的表现.

主要方法:

  • 利用了来自24,689名患者的71,589个CXR,与心声图数据联系在一起.
  • 提取了SLVH,DLV的标签,以及心声回声图的复合结果.
  • 经过DL模型的培训和验证,通过AUROC和外部验证评估性能.

主要成果:

  • 在DL模型中,SLVH的AUROC为0.79,DLV为0.80,复合结果为0.80.
  • 在外部数据集上表现一致.
  • 该模型超越了个别放射科医生,并且表现出比放射科医生共识更高的灵敏度.

结论:

  • 对CXR的DL分析对于检测LV缩和扩张是有效的.
  • 这种方法对早期识别患有这些心脏病的患者有希望.
  • 一个公开的数据集71589CXRs与心声学标签现在可用于促进研究.