AIMC Topic: Mitral Valve Insufficiency

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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...
Neural Networks, Computer Female Animals Dog Diseases Mitral Valve Insufficiency Stethoscopes Phonocardiography Male Severity of Illness Index Deep Learning Dogs
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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...
Ventricular Function, Right Aged, 80 and over Humans Mitral Valve Male Prognosis Severity of Illness Index Mitral Valve Insufficiency Stroke Volume Female Deep Learning Echocardiography Cardiac Catheterization Aged Predictive Value of Tests Registries
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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...
Dogs Mitral Valve Insufficiency Models, Cardiovascular Animals Bayes Theorem Heart Humans Machine Learning Computer Simulation
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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.
Machine Learning Male Echocardiography Dogs Dog Diseases Algorithms Female Sensitivity and Specificity Animals Mitral Valve Insufficiency Heart Valve Diseases Heart Murmurs
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Artificial Intelligence and Mitral Regurgitation: Friend or Foe?

Circulation Sep 16, 2024
Humans Artificial Intelligence Mitral Valve Mitral Valve Insufficiency
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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...
Image Interpretation, Computer-Assisted Automation Middle Aged Female Humans Workflow Severity of Illness Index Reproducibility of Results Feasibility Studies Machine Learning Predictive Value of Tests Aged Prognosis Mitral Valve Male Mitral Valve Insufficiency
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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...
Deep Learning Mitral Valve Mitral Valve Insufficiency Echocardiography, Doppler, Color Male Echocardiography Middle Aged Severity of Illness Index Humans Female Aged
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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...
Mitral Valve Humans Mitral Valve Insufficiency Machine Learning Heart Valve Prosthesis Implantation Risk Assessment Retrospective Studies Aged Cardiac Catheterization Hospital Mortality Female Aged, 80 and over United States Male Middle Aged
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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...
Humans Retrospective Studies Female Deep Learning Aged Mitral Valve Male Mitral Valve Insufficiency Middle Aged Echocardiography, Doppler, Color
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Development of an artificial intelligence-based algorithm for predicting the severity of myxomatous mitral valve disease from thoracic radiographs by using two grading systems.

Research in veterinary science Aug 8, 2024
A heart-convolutional neural network (heart-CNN) was designed and tested for the automatic classification of chest radiographs in dogs affected by myxomatous mitral valve disease (MMVD) at different stages of disease severity. A retrospective and mul...
Artificial Intelligence Algorithms Retrospective Studies Neural Networks, Computer Dogs Animals Female Dog Diseases Male Mitral Valve Insufficiency Echocardiography Radiography, Thoracic Severity of Illness Index
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