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

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

Decoding type 5 diabetes using spatial omics: microarchitectural and molecular mechanisms of malnutrition-associated diabetes.

Frontiers in endocrinology·2026
Same author

External Validation, Recalibration, and Extension of a Prediction Model of Early Acute Kidney Injury in Critically Ill Children Using Multicenter Data.

Critical care explorations·2026
Same author

Desmoplakin Cardiomyopathy.

The international journal of cardiovascular imaging·2026
Same author

Noninvasive Assessment of the Ulnar Nerve in the Upper Extremity Using Machine Learning.

Journal of hand surgery global online·2026
Same author

An AI-enabled comprehensive breast ultrasound diagnostic system for low-resource settings without a sonographer or a radiologist.

Scientific reports·2025
Same author

Fourier Synchrosqueezed Transform for Shear Wave Speed Estimation in Crawling Wave Sonoelastography Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
查看所有相关文章

相关实验视频

Updated: Jan 9, 2026

Protocol and Guidelines for Point-of-Care Lung Ultrasound in Diagnosing Neonatal Pulmonary Diseases Based on International Expert Consensus
06:15

Protocol and Guidelines for Point-of-Care Lung Ultrasound in Diagnosing Neonatal Pulmonary Diseases Based on International Expert Consensus

Published on: March 6, 2019

51.8K

基于学习的肺病检测使用弱标签进行体积扫描肺超声波成像.

Ajeesh Ajayan Nayaruparambil, Thomas Marini, Thapasya Murali

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种人工智能驱动的方法来解释肺部超声波扫描,提高诊断肺部疾病的可访问性. 自动化系统实现了高精度,减少了对体积扫描成像 (VSI) 专家超声波仪的依赖.

    更多相关视频

    Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
    06:22

    Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

    Published on: September 19, 2025

    406
    Point-of-Care Lung Ultrasound in Adults: Image Acquisition
    09:17

    Point-of-Care Lung Ultrasound in Adults: Image Acquisition

    Published on: March 3, 2023

    7.3K

    相关实验视频

    Last Updated: Jan 9, 2026

    Protocol and Guidelines for Point-of-Care Lung Ultrasound in Diagnosing Neonatal Pulmonary Diseases Based on International Expert Consensus
    06:15

    Protocol and Guidelines for Point-of-Care Lung Ultrasound in Diagnosing Neonatal Pulmonary Diseases Based on International Expert Consensus

    Published on: March 6, 2019

    51.8K
    Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
    06:22

    Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

    Published on: September 19, 2025

    406
    Point-of-Care Lung Ultrasound in Adults: Image Acquisition
    09:17

    Point-of-Care Lung Ultrasound in Adults: Image Acquisition

    Published on: March 3, 2023

    7.3K

    科学领域:

    • 医疗成像医学成像
    • 人工智能的人工智能
    • 肺部医学 肺部医学

    背景情况:

    • 肺部疾病导致全球显著的发病率和死亡率.
    • 在全球范围内,肺部疾病的可访问医学成像是有限的.
    • 肺部超声波 (LUS) 精确,但需要训练有素的超声波仪;体积扫描成像 (VSI) 简化了采集,但需要专家的解释.

    研究的目的:

    • 开发一种新的基于学习的方法,用于肺超声波VSI的自动解释.
    • 减少对专家放射科医生的依赖,以诊断VSI扫描中的肺部异常.
    • 调查VSI分析的弱标签深度学习架构的有效性.

    主要方法:

    • 分析了后肺的VSI检查中的超声波B模式cine循环.
    • 开发和比较了两种基于混合卷积神经网络 (CNN) 的深度学习架构.
    • 综合CNN和随机森林分类器使用弱标签 (整个电影循环诊断) 进行训练.

    主要成果:

    • 性能最好的模型是CNN和随机森林分类器的组合,其准确率达到了91.67%.
    • 精度为92.31%,回忆率为85.71%,F1得分为88.89%.
    • 这种方法在超声波扫描中证明了对外在信息的稳定性.

    结论:

    • 使用基于学习的方法对肺部超声波VSI的自动解释显示出显著的潜力.
    • 这种方法可以提高诊断肺部疾病的可访问性和效率.
    • 这些发现支持AI在医学成像解释肺部疾病中的临床相关性.