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Related Concept Videos

Mitral Regurgitation II: Clinical Features and Diagnostic Tests01:23

Mitral Regurgitation II: Clinical Features and Diagnostic Tests

876
Mitral regurgitation (MR) is a valvular heart disorder in which the mitral valve fails to close tightly, allowing blood to leak backward into the heart. Understanding the clinical manifestations, assessment, diagnostic findings, and medical management of MR is crucial to effectively managing affected patients.Clinical Manifestations of Mitral RegurgitationMitral regurgitation can be acute or chronic, each presenting differently and requiring different approaches:1. Acute Mitral...
876
Mitral Regurgitation I: Introduction01:20

Mitral Regurgitation I: Introduction

1.2K
Mitral regurgitation is characterized by the backward circulation of blood from the left ventricle to the left atrium during systole, a phase of the cardiac cycle when the heart contracts and pumps blood out of the chambers. This abnormal flow occurs primarily due to the dysfunction of the mitral valve or its supporting structures, which include the mitral leaflets, chordae tendineae, annulus, and papillary muscles.Etiology and Mechanisms:Primary Mitral Regurgitation: This type arises from...
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Mitral Valve Prolapse II: Assessment and Management01:22

Mitral Valve Prolapse II: Assessment and Management

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IntroductionA range of clinical features characterizes Mitral Valve Prolapse (MVP), but it is important to note that many individuals with MVP are asymptomatic and may remain so throughout their lives. For those who do exhibit symptoms, the following are the key clinical features:Palpitations: This is a common symptom where individuals feel an irregular or rapid heartbeat. Palpitations in MVP are often due to arrhythmias such as premature ventricular contractions or supraventricular...
1.3K
Mitral Regurgitation III: Medical Management01:25

Mitral Regurgitation III: Medical Management

632
Mitral regurgitation (MR) is characterized by retrograde blood circulation from the left ventricle into the left atrium due to inadequate mitral valve closure. The severity of the condition, symptoms, and underlying cause determine treatment strategies.Monitoring and Pharmacological TreatmentPatients with mild to moderate MR typically do not need immediate intervention but regular monitoring to assess progression and guide treatment. Patients with mild MR should have an echocardiogram every 3-5...
632
Mitral Stenosis II: Clinical features and Diagnostic Tests01:23

Mitral Stenosis II: Clinical features and Diagnostic Tests

520
Mitral stenosis is a heart condition in which the mitral valve, which allows blood to flow from the left atrium to the left ventricle, becomes narrowed or stenotic. This narrowing hinders blood flow and leads to clinical symptoms requiring specific medical evaluations and management strategies. The following overview outlines the clinical symptoms, assessments, diagnostic findings, prevention methods, and treatments for mitral stenosis.Clinical ManifestationsDyspnea (shortness of breath): This...
520
Aortic Regurgitation II: Clinical Features and Diagnostic Tests01:22

Aortic Regurgitation II: Clinical Features and Diagnostic Tests

1.0K
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...
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Related Experiment Video

Updated: Apr 21, 2026

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
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Mitral regurgitation detection and central/eccentric classification using transformer-based deep learning in

Xiaofang Zhong1, Jiancheng Zhang2,3,4, Yuanyuan Sheng1

  • 1Department of Ultrasound, Shenzhen People's Hospital, (The First Affiliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Jinan University), Shenzhen, China.

Journal of Applied Clinical Medical Physics
|April 20, 2026
PubMed
Summary

A new deep learning model can automatically detect mitral regurgitation (MR) in echocardiograms with high accuracy. This AI tool also classifies MR types and improves diagnostic efficiency.

Keywords:
centraleccentricmitral regurgitationmulti‐viewtransformer

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A Simplified Stepwise Approach to Echo Guidance during Percutaneous Mitral Valve Repair
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Related Experiment Videos

Last Updated: Apr 21, 2026

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
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Area of Science:

  • Cardiology
  • Artificial Intelligence
  • Medical Imaging

Background:

  • Mitral regurgitation (MR) diagnosis can be enhanced by automated echocardiography for earlier detection.
  • A deep learning (DL) framework was developed to automatically detect MR in echocardiography videos.
  • The framework classifies regurgitation into central or eccentric types.

Purpose of the Study:

  • To develop and validate a Transformer-based deep learning model for automated MR detection in echocardiography.
  • To assess the model's ability to differentiate between central and eccentric MR.
  • To evaluate the model's diagnostic performance across multiple echocardiographic views.

Main Methods:

  • A Transformer-based deep learning model was designed for automated MR detection in Doppler videos.
  • The model was trained, validated, and tested on retrospective datasets.
  • An independent prospective dataset of 217 patients was used for validation.

Main Results:

  • The model achieved high diagnostic accuracy for MR detection (0.94 retrospective, 0.92 prospective), comparable to physicians.
  • It accurately classified central and eccentric MR (0.93 accuracy).
  • Multi-view analysis improved diagnostic performance over single-view analysis.

Conclusions:

  • The Transformer-based algorithm automates MR detection and classification, enhancing clinical workflow efficiency.
  • The model can screen multi-view echocardiograms for MR presence and characteristics.
  • This AI tool assists clinicians in diagnosing and classifying mitral regurgitation.