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 III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

541
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...
541

You might also read

Related Articles

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

Sort by
Same author

Importance of the Quality of Annotation: Impact of Simulated Inter-Observer Variability on Deep Neural Network Automated Segmentation Model Performance.

Bioengineering (Basel, Switzerland)·2026
Same author

General Electrocatalytic Plastic and Biomass Refining via Synergistic Carbon-Carbon Bond Cleavage Over Oxygen Vacancies and Ni<sup>3+</sup>-O Octahedral Motifs in Tailored Spinel Nickel Cobalt Oxide.

Angewandte Chemie (International ed. in English)·2026
Same author

[Expression and clinical significance of lymphocyte subsets in infectious pneumonia and immune-related interstitial lung disease].

Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences·2026
Same author

The application value of time-dependent DWI in the differential diagnosis of benign and malignant breast lesions and microstructural feature analysis.

BMC medical imaging·2026
Same author

Scalable and Efficient Deep Learning-Based Pipeline for Mitotic Detection and Analysis in Pathology Images.

Cancers·2026
Same author

High-Temperature-Resistant Composite Lost Circulation Materials for Oil-Based Drilling Fluids: Preparation, Performance, and Synergistic Mechanism.

Molecules (Basel, Switzerland)·2026

Related Experiment Video

Updated: Feb 28, 2026

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

1.2K

A Lung Ultrasound Radiomics-Based Machine Learning Model for Diagnosing Acute Heart Failure in the Emergency

Jifei Cai1, Nan Tong1, Chenchen Hang1

  • 1Emergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.

Diagnostics (Basel, Switzerland)
|February 27, 2026
PubMed
Summary
This summary is machine-generated.

This study developed an integrated machine learning model using lung ultrasound (LUS) radiomics and clinical data to diagnose acute heart failure (AHF). The model showed high accuracy, outperforming traditional methods for emergency department patients with acute dyspnea.

Keywords:
acute heart failurediagnostic modelemergency departmentlung ultrasoundmachine learningmultimodal fusionradiomicsrandom forest

More Related Videos

Ultrasonic Assessment of Myocardial Microstructure
10:53

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

5.9K
Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
06:09

Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI

Published on: July 21, 2023

2.0K

Related Experiment Videos

Last Updated: Feb 28, 2026

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

1.2K
Ultrasonic Assessment of Myocardial Microstructure
10:53

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

5.9K
Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
06:09

Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI

Published on: July 21, 2023

2.0K

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Cardiology

Background:

  • Acute heart failure (AHF) is a critical emergency department condition.
  • Traditional diagnostic methods for AHF have limitations in accuracy and subjectivity.
  • Novel approaches are needed for rapid and precise AHF diagnosis.

Purpose of the Study:

  • To develop an integrated machine learning model for diagnosing AHF.
  • To combine lung ultrasound (LUS) radiomics and clinical data for improved diagnostic performance.
  • To evaluate the model's efficacy in patients presenting with acute dyspnea.

Main Methods:

  • A total of 301 patients were enrolled and divided into training and testing sets.
  • 107 radiomics features were extracted from LUS images using PyRadiomics 3.0.
  • Three random forest models (clinical-only, radiomics-only, integrated) were developed and compared.

Main Results:

  • The integrated model achieved an AUC of 0.976, accuracy of 90.1%, sensitivity of 91.1%, and specificity of 89.1% on the testing set.
  • The integrated model significantly outperformed both the radiomics-only (AUC 0.940) and clinical-only (AUC 0.931) models.
  • Radiomics features, particularly gray level run length matrix (GLRLM), contributed significantly (75.6%) to the model's predictive power.

Conclusions:

  • This proof-of-concept study highlights the potential of multimodal data fusion for AHF diagnosis.
  • The integrated LUS radiomics and clinical model shows promise for emergency department AHF diagnosis.
  • External validation and prospective studies are necessary to confirm clinical applicability.