Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

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, evaluates...
Imaging Studies for Cardiovascular System II:Types of Echocardiography01:20

Imaging Studies for Cardiovascular System II:Types of Echocardiography

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 diagnosing...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Optimizing immunotherapy in advanced gastric cancer: established and emerging biomarkers for precision patient selection.

Frontiers in immunology·2026
Same author

Immunotherapeutic strategies for castration-resistant prostate cancer: A systematic review of mechanisms, clinical advances and emerging approaches.

Molecular biology reports·2026
Same author

Development and validation of a model for early prediction of severe/critical COVID-19 in elderly patients.

PeerJ·2026
Same author

Mental health spillovers of Long-Term Care Insurance on spousal caregivers in China.

Acta psychologica·2026
Same author

Interfacial Charge Separation Engineering-Modulated Multichannel Photoelectrochemical Biosensor Enabled by a Triple-Responsive Nanolabel.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Parental co-exposure to polystyrene nanoplastics and cadmium primes adaptive intergenerational responses in Arabidopsis thaliana.

Journal of hazardous materials·2026

Related Experiment Video

Updated: Jun 17, 2026

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
11:04

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism

Published on: September 1, 2014

SemanticST: Semantics-enhanced Spatio-Temporal Modeling for Ejection Fraction Estimation in Echocardiography.

Dashun Zheng, Jiaxuan Li, Mingyuan Meng

    IEEE Journal of Biomedical and Health Informatics
    |June 15, 2026
    PubMed
    Summary

    This study introduces SemanticST, a novel framework for estimating left ventricular Ejection Fraction (EF) from echocardiograms. It improves accuracy by integrating visual data with clinical report semantics for better cardiac function assessment.

    More Related Videos

    Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography
    07:11

    Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography

    Published on: October 28, 2020

    High-frequency High-resolution Echocardiography: First Evidence on Non-invasive Repeated Measure of Myocardial Strain, Contractility, and Mitral Regurgitation in the Ischemia-reperfused Murine Heart
    11:50

    High-frequency High-resolution Echocardiography: First Evidence on Non-invasive Repeated Measure of Myocardial Strain, Contractility, and Mitral Regurgitation in the Ischemia-reperfused Murine Heart

    Published on: July 9, 2010

    Related Experiment Videos

    Last Updated: Jun 17, 2026

    Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
    11:04

    Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism

    Published on: September 1, 2014

    Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography
    07:11

    Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography

    Published on: October 28, 2020

    High-frequency High-resolution Echocardiography: First Evidence on Non-invasive Repeated Measure of Myocardial Strain, Contractility, and Mitral Regurgitation in the Ischemia-reperfused Murine Heart
    11:50

    High-frequency High-resolution Echocardiography: First Evidence on Non-invasive Repeated Measure of Myocardial Strain, Contractility, and Mitral Regurgitation in the Ischemia-reperfused Murine Heart

    Published on: July 9, 2010

    Area of Science:

    • Cardiology
    • Medical Imaging
    • Artificial Intelligence

    Background:

    • Left ventricular Ejection Fraction (EF) estimation from echocardiography is vital for assessing cardiac systolic function and patient risk stratification.
    • Current methods struggle with temporal dynamics in video frames and leveraging clinical semantics from reports.

    Purpose of the Study:

    • To develop a unified framework, SemanticST, for enhanced EF estimation by integrating spatio-temporal modeling with clinical semantic priors.
    • To improve the accuracy and reliability of EF estimation in echocardiography.

    Main Methods:

    • Proposed SemanticST framework with a spatio-temporal & text-guided neighborhood correlation mining (STT-NCM) encoder for temporal dependency modeling.
    • Utilized a text-guided pixel-level semantic projection (TextSP) module, leveraging large language models (LLMs) for semantic guidance.
    • Integrated spatio-temporal consistency and clinical semantic priors for optimized EF estimation.

    Main Results:

    • SemanticST demonstrated superior performance on CAMUS and EchoNet-Dynamic datasets.
    • Achieved state-of-the-art results in segmentation accuracy, temporal consistency, and EF estimation correlation.
    • Effectively aligned clinical semantics with visual echocardiographic data.

    Conclusions:

    • SemanticST offers a significant advancement in echocardiographic EF estimation by combining visual and textual data.
    • The framework enhances the clinical utility of echocardiography for cardiac assessment.
    • Future work could explore broader clinical applications of this integrated approach.