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

Aortic Regurgitation II: Clinical Features and Diagnostic Tests01:22

Aortic Regurgitation II: Clinical Features and Diagnostic Tests

Aortic valve regurgitation (AR) occurs when the aortic valve fails to close properly, allowing blood to flow backward from the aorta into the left ventricle. This backflow can result in two distinct clinical presentations: acute and chronic AR, each characterized by its own set of symptoms and physical findings.Acute Aortic RegurgitationAcute AR presents with a sudden onset of severe symptoms. Patients typically experience profound dyspnea (shortness of breath), chest pain, and signs of left...
Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
Cardiopulmonary Resuscitation III: AED Use01:23

Cardiopulmonary Resuscitation III: AED Use

Introduction to AEDAn Automated External Defibrillator (AED) is a portable medical device that analyzes the heart's rhythm and, if necessary, delivers an electrical shock to help the heart re-establish an effective rhythm during sudden cardiac arrest (SCA). SCA occurs when the heart suddenly and unexpectedly stops beating, leading to a loss of blood flow to the brain and other vital organs. In such emergencies, time is of the essence, and using an AED, combined with Cardiopulmonary...
Aneurysm II: Clinical Manifestations and Diagnostic Studies01:21

Aneurysm II: Clinical Manifestations and Diagnostic Studies

Thoracic, aortic arch and abdominal aneurysms are significant vascular conditions that can present with various clinical manifestations and lead to serious complications. Understanding these manifestations and the appropriate diagnostic studies is essential for effective management and treatment.Thoracic Aortic AneurysmsThoracic aortic aneurysms often remain asymptomatic until they reach a size that impinges on adjacent structures. They typically cause deep, diffuse chest pain that radiates to...

You might also read

Related Articles

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

Sort by
Same author

Managing radiological technologists' impatience: testing the effectiveness of a group work intervention.

Radiological physics and technology·2026
Same author

Relationship between the diagnostic probability of chronic kidney disease calculated using artificial intelligence-enhanced electrocardiography and the incidence of cardiovascular events.

International journal of cardiology·2026
Same author

Prediction of Atrial Fibrillation Using Artificial Intelligence-Enhanced Electrocardiography　- Does Left Atrial Size Matter?

Circulation journal : official journal of the Japanese Circulation Society·2026
Same author

Impella in killip class IV acute myocardial infarction complicated by pulseless ventricular arrhythmia.

Cardiovascular intervention and therapeutics·2026
Same author

Overlapping pathologies: Adrenal insufficiency presenting as refractory acute heart failure.

Journal of cardiology cases·2026
Same author

CVIT expert consensus document on primary percutaneous coronary intervention (PCI) for acute coronary syndromes (ACS) in 2026.

Cardiovascular intervention and therapeutics·2026

Related Experiment Video

Updated: May 29, 2026

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
18:11

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

24.3K

Identifying patients with acute aortic dissection using an electrocardiogram with convolutional neural network.

Takuto Arita1, Shinya Suzuki1, Jun Motogi2

  • 1Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.

International Journal of Cardiology. Heart & Vasculature
|March 29, 2024
PubMed
Summary

Artificial intelligence (AI) with electrocardiography (ECG) shows promise for screening aortic dissection (AD). A convolutional neural network (CNN) model achieved a 35% positive predictive rate (PPR) in high-risk patients, improving AD detection.

Keywords:
Aortic dissectionArtificial intelligenceConvolutional neural networkElectrocardiography

More Related Videos

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

537
Novel and Innovative Hybrid Technique for Type A Aortic Dissection
06:26

Novel and Innovative Hybrid Technique for Type A Aortic Dissection

Published on: March 28, 2025

274

Related Experiment Videos

Last Updated: May 29, 2026

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
18:11

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

24.3K
Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

537
Novel and Innovative Hybrid Technique for Type A Aortic Dissection
06:26

Novel and Innovative Hybrid Technique for Type A Aortic Dissection

Published on: March 28, 2025

274

Area of Science:

  • Cardiology
  • Artificial Intelligence
  • Medical Diagnostics

Background:

  • Electrocardiography (ECG) combined with artificial intelligence (AI) offers potential for initial screening of aortic dissection (AD).
  • Achieving a high positive predictive rate (PPR) for AI-based AD detection remains a significant challenge.

Purpose of the Study:

  • To evaluate the performance of a convolutional neural network (CNN) model for detecting aortic dissection (AD) using digital 12-lead ECG data.
  • To assess the impact of different ECG lead configurations and patient risk factors on the CNN model's diagnostic accuracy and PPR.

Main Methods:

  • A retrospective analysis of a prospective cohort study (Shinken Database, 2010-2017, N=19,170) utilizing digital 12-lead ECGs.
  • A CNN model was trained and validated using five-fold cross-validation on eight-lead, single-lead, and double-lead ECG configurations for AD detection.
  • Performance metrics including area under the curve (AUC) and positive predictive rate (PPR) were assessed across the entire cohort and in subgroups with elevated D-dimer and hypertension history.

Main Results:

  • The CNN model achieved an AUC of 0.936 with eight-lead ECGs for AD detection.
  • In the overall cohort, the model had a 7% PPR and 86% sensitivity for AD.
  • Applying the CNN to patients with D-dimer levels ≥1 μg/dL and hypertension history increased PPR to 35% (86% sensitivity).
  • A single V1 lead ECG configuration demonstrated high diagnostic performance (AUC: 0.933) and improved PPR to 38% in the same high-risk subgroup.

Conclusions:

  • The developed CNN model demonstrates effective AD detection using ECG data, achieving over 30% PPR in high-risk patients while maintaining sensitivity.
  • A single V1 lead ECG offers a simplified yet highly effective approach for AI-driven AD screening within the CNN framework.
  • These findings suggest that AI-powered ECG analysis can significantly enhance the initial screening of aortic dissection, particularly in at-risk populations.