AIMC Topic: Mitral Valve Insufficiency

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Aortic Stenosis and Mitral Regurgitation: Takeaways From the Heart Valve Collaboratory Workshop on Multivalvular Disease.

Journal of the American College of Cardiology Jun 27, 2025
The management of multivalvular disease presents increasing challenges in clinical practice caused by complex hemodynamic interactions and limited guideline-based recommendations. As part of the inaugural collaboration between JACC and the Heart Valv...
Humans Aortic Valve Stenosis Mitral Valve Insufficiency Transcatheter Aortic Valve Replacement
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Deep learning-based evaluation of the severity of mitral regurgitation in canine myxomatous mitral valve disease patients using digital stethoscope recordings.

BMC veterinary research May 8, 2025
BACKGROUND: Myxomatous mitral valve disease (MMVD) represents the most prevalent cardiac disorder in dogs, frequently resulting in mitral regurgitation (MR) and congestive heart failure. Although echocardiography is the gold standard for diagnosis, i...
Mitral Valve Insufficiency Neural Networks, Computer Female Dogs Severity of Illness Index Stethoscopes Dog Diseases Animals Deep Learning Phonocardiography Male
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Deep Learning-Enabled Assessment of Right Ventricular Function Improves Prognostication After Transcatheter Edge-to-Edge Repair for Mitral Regurgitation.

Circulation. Cardiovascular imaging Jan 21, 2025
BACKGROUND: Right ventricular (RV) function has a well-established prognostic role in patients with severe mitral regurgitation (MR) undergoing transcatheter edge-to-edge repair (TEER) and is typically assessed using echocardiography-measured tricusp...
Humans Prognosis Female Aged Predictive Value of Tests Registries Mitral Valve Ventricular Function, Right Mitral Valve Insufficiency Echocardiography Aged, 80 and over Cardiac Catheterization Severity of Illness Index Male Deep Learning Stroke Volume
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Synergistic biophysics and machine learning modeling to rapidly predict cardiac growth probability.

Computers in biology and medicine Nov 7, 2024
Computational models that can predict growth and remodeling of the heart could have important clinical applications. However, the time it takes to calibrate and run current models while considering data uncertainty and variability makes them impracti...
Bayes Theorem Heart Dogs Mitral Valve Insufficiency Models, Cardiovascular Machine Learning Humans Computer Simulation Animals
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A machine-learning algorithm to grade heart murmurs and stage preclinical myxomatous mitral valve disease in dogs.

Journal of veterinary internal medicine Oct 21, 2024
BACKGROUND: The presence and intensity of heart murmurs are sensitive indicators of several cardiac diseases in dogs, particularly myxomatous mitral valve disease (MMVD), but accurate interpretation requires substantial clinical expertise.
Male Echocardiography Dogs Dog Diseases Female Sensitivity and Specificity Animals Mitral Valve Insufficiency Heart Valve Diseases Heart Murmurs Machine Learning Algorithms
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Artificial Intelligence and Mitral Regurgitation: Friend or Foe?

Circulation Sep 16, 2024
Mitral Valve Mitral Valve Insufficiency Humans Artificial Intelligence
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An Automated Machine Learning-Based Quantitative Multiparametric Approach for Mitral Regurgitation Severity Grading.

JACC. Cardiovascular imaging Aug 14, 2024
BACKGROUND: Considering the high prevalence of mitral regurgitation (MR) and the highly subjective, variable MR severity reporting, an automated tool that could screen patients for clinically significant MR (≥ moderate) would streamline the diagnosti...
Male Mitral Valve Insufficiency Middle Aged Image Interpretation, Computer-Assisted Female Humans Feasibility Studies Predictive Value of Tests Machine Learning Automation Reproducibility of Results Workflow Severity of Illness Index Mitral Valve Prognosis Aged
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High-Throughput Deep Learning Detection of Mitral Regurgitation.

Circulation Aug 12, 2024
BACKGROUND: Diagnosis of mitral regurgitation (MR) requires careful evaluation by echocardiography with Doppler imaging. This study presents the development and validation of a fully automated deep learning pipeline for identifying apical 4-chamber v...
Humans Female Aged Deep Learning Male Mitral Valve Echocardiography Mitral Valve Insufficiency Middle Aged Echocardiography, Doppler, Color Severity of Illness Index
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Application of machine learning to predict in-hospital mortality after transcatheter mitral valve repair.

Surgery Aug 9, 2024
INTRODUCTION: Transcatheter mitral valve repair offers a minimally invasive treatment option for patients at high risk for traditional open repair. We sought to develop dynamic machine-learning risk prediction models for in-hospital mortality after t...
Machine Learning United States Humans Retrospective Studies Male Female Mitral Valve Heart Valve Prosthesis Implantation Middle Aged Risk Assessment Mitral Valve Insufficiency Aged Cardiac Catheterization Hospital Mortality Aged, 80 and over
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EasyPISA: Automatic Integrated PISA Measurements of Mitral Regurgitation From 2-D Color-Doppler Using Deep Learning.

Ultrasound in medicine & biology Aug 8, 2024
OBJECTIVE: The proximal isovelocity surface area (PISA) method is a well-established approach for mitral regurgitation (MR) quantification. However, it exhibits high inter-observer variability and inaccuracies in cases of non-hemispherical flow conve...
Deep Learning Mitral Valve Mitral Valve Insufficiency Aged Humans Echocardiography, Doppler, Color Male Retrospective Studies Middle Aged Female
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