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

401
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,...
401
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

46
Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
46

You might also read

Related Articles

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

Sort by
Same author

The mitochondrial protease, LonP1, is a potential cardioprotective target for attenuating doxorubicin-induced cardiomyocyte death.

Journal of translational medicine·2026
Same author

Agentic Autodiscovery of Diastolic Dysfunction Phenotypes from Surface Electrocardiogram.

medRxiv : the preprint server for health sciences·2026
Same author

Text-dominant decision-making by large multimodal models in dermatology clinical challenges: Comment on "AI-assisted dermatologic diagnosis using a large language model".

Journal of the American Academy of Dermatology·2026
Same author

Diastolic dysfunction is linked to the initiation and progression of aortic stenosis: a hypothesis.

European heart journal·2026
Same author

Multi-omics analysis of genetic drivers linking aortic stenosis and left ventricular diastolic dysfunction in heart failure.

BioData mining·2026
Same author

Incidence and clinical outcomes of extended duration support in patients with Impella 5.5 - Analysis from the LOQI Registry.

JHLT open·2026

Related Experiment Video

Updated: Aug 19, 2025

Ultrasonic Assessment of Myocardial Microstructure
10:53

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

5.5K

Ultrasonic Texture Features for Assessing Cardiac Remodeling and Dysfunction.

Quincy A Hathaway1, Naveena Yanamala2, Nanda K Siva3

  • 1Heart and Vascular Institute, West Virginia University, Morgantown, West Virginia, USA. Electronic address: https://twitter.com/QuincyHathaway.

Journal of the American College of Cardiology
|December 1, 2022
PubMed
Summary
This summary is machine-generated.

Cardiac ultrasomics, a radiomics approach, accurately assesses left ventricular remodeling and predicts cardiovascular events. This automated method offers expert-level insights into cardiac function without manual measurements.

Keywords:
MACEautomatedmachine-learningmouseradiomicsultrasomics

More Related Videos

Assessment of Cardiac Morphological and Functional Changes in Mouse Model of Transverse Aortic Constriction by Echocardiographic Imaging
09:05

Assessment of Cardiac Morphological and Functional Changes in Mouse Model of Transverse Aortic Constriction by Echocardiographic Imaging

Published on: June 21, 2016

18.4K
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

24.2K

Related Experiment Videos

Last Updated: Aug 19, 2025

Ultrasonic Assessment of Myocardial Microstructure
10:53

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

5.5K
Assessment of Cardiac Morphological and Functional Changes in Mouse Model of Transverse Aortic Constriction by Echocardiographic Imaging
09:05

Assessment of Cardiac Morphological and Functional Changes in Mouse Model of Transverse Aortic Constriction by Echocardiographic Imaging

Published on: June 21, 2016

18.4K
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

24.2K

Area of Science:

  • Cardiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Cardiac remodeling significantly impacts patient outcomes.
  • Understanding left ventricular (LV) structure and function is crucial for cardiovascular health.

Purpose of the Study:

  • To evaluate the efficacy of cardiac ultrasomics (radiomics features from ultrasound) for automated assessment of LV structure and function.
  • To develop and validate machine-learning models using ultrasomics for predicting cardiac remodeling and adverse events.

Main Methods:

  • Developed machine-learning models using cardiac ultrasound images from 1,915 subjects across three cohorts.
  • Validated models on prospective POCUS and high-end ultrasound systems.
  • Assessed ultrasomics in a murine model, correlating features with histopathology.

Main Results:

  • Ultrasomics models accurately predicted LV remodeling in external validation cohorts (AUCs 0.78-0.79).
  • Ultrasomics scores were significantly associated with major adverse cardiovascular events (P < 0.0001 and P = 0.0008).
  • In mice, cardiomyocyte hypertrophy correlated with ultrasomics biomarkers (R² = 0.57 and 0.52).

Conclusions:

  • Cardiac ultrasomics-based biomarkers show promise for developing machine-learning models.
  • These models can provide expert-level assessment of LV structure and function.
  • Automated ultrasomics analysis may improve cardiovascular risk prediction.