AIMC Topic: Aortic Valve Insufficiency

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Machine Learning Identification of Patient Phenoclusters in Aortic Regurgitation.

JACC. Cardiovascular imaging Mar 26, 2025
BACKGROUND: Current treatment paradigms assume aortic regurgitation (AR) patients to be a homogenous population, but varied courses of disease progression and outcomes are observed clinically.
Ventricular Function, Left Middle Aged Risk Assessment Disease Progression Risk Factors Aged Adult Male Unsupervised Machine Learning Humans Predictive Value of Tests Machine Learning Sex Factors Decision Support Techniques Aortic Valve Insufficiency Magnetic Resonance Imaging, Cine Retrospective Studies Severity of Illness Index Female Time Factors Reproducibility of Results United States Phenotype Aortic Valve Prognosis
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Machine Learning Identifies Clinically Distinct Phenotypes in Patients With Aortic Regurgitation.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Nov 18, 2024
BACKGROUND: Aortic regurgitation (AR) is a prevalent valve disease with a long latent period before symptoms appear. Recent data has suggested the role of novel markers of myocardial overload in assessing onset of decompensation.
Humans Machine Learning Phenotype Aortic Valve Insufficiency Retrospective Studies Female Aged Male Survival Rate Echocardiography Middle Aged Severity of Illness Index
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Transcatheter Aortic Valve Replacement and Coronary Protection Guided by Deep Learning and 3-Dimensional Printing.

Surgical innovation Apr 2, 2024
OBJECTIVE: In this case report, the auxiliary role of deep learning and 3-dimensional printing technology in the perioperative period was discussed to guide transcatheter aortic valve replacement and coronary stent implantation simultaneously.
Humans Aged Male Deep Learning Aortic Valve Insufficiency Transcatheter Aortic Valve Replacement Aortic Valve Stenosis Aortic Valve Printing, Three-Dimensional Stents
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Super-resolution 4D flow MRI to quantify aortic regurgitation using computational fluid dynamics and deep learning.

The international journal of cardiovascular imaging Feb 23, 2023
Changes in cardiovascular hemodynamics are closely related to the development of aortic regurgitation (AR), a type of valvular heart disease. Metrics derived from blood flows are used to indicate AR onset and evaluate its severity. These metrics can ...
Predictive Value of Tests Aortic Valve Insufficiency Blood Flow Velocity Hydrodynamics Humans Hemodynamics Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging
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Quantifying Valve Regurgitation Using 3-D Doppler Ultrasound Images and Deep Learning.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 24, 2022
Accurate quantification of cardiac valve regurgitation jets is fundamental for guiding treatment. Cardiac ultrasound is the preferred diagnostic tool, but current methods for measuring the regurgitant volume (RVol) are limited by low accuracy and hig...
Aortic Valve Insufficiency Ultrasonography, Doppler Blood Flow Velocity Hemodynamics Deep Learning Ultrasonography Imaging, Three-Dimensional Humans Echocardiography
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Revealing Unforeseen Diagnostic Image Features With Deep Learning by Detecting Cardiovascular Diseases From Apical 4-Chamber Ultrasounds.

Journal of the American Heart Association Aug 5, 2022
Background With the increase of highly portable, wireless, and low-cost ultrasound devices and automatic ultrasound acquisition techniques, an automated interpretation method requiring only a limited set of views as input could make preliminary cardi...
Mitral Valve Insufficiency Aortic Valve Insufficiency Humans Cardiovascular Diseases Ventricular Function, Left Deep Learning Mitral Valve
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Deep learning model to detect significant aortic regurgitation using electrocardiography.

Journal of cardiology Sep 17, 2021
BACKGROUND: Aortic regurgitation (AR) is a common heart disease, with a relatively high prevalence of 4.9% in the Framingham Heart Study. Because the prevalence increases with advancing age, an upward shift in the age distribution may increase the bu...
Retrospective Studies Deep Learning Electrocardiography Aortic Valve Insufficiency Humans Artificial Intelligence Algorithms
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Machine-learning phenotypic classification of bicuspid aortopathy.

The Journal of thoracic and cardiovascular surgery Sep 14, 2017
BACKGROUND: Bicuspid aortic valves (BAV) are associated with incompletely characterized aortopathy. Our objectives were to identify distinct patterns of aortopathy using machine-learning methods and characterize their association with valve morpholog...
Diagnosis, Computer-Assisted Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Bicuspid Aortic Valve Disease Heart Valve Diseases Pattern Recognition, Automated Radiographic Image Interpretation, Computer-Assisted Aortic Valve Insufficiency Adult Humans Sinus of Valsalva Cross-Sectional Studies Phenotype Machine Learning Aorta, Thoracic Male Female Computed Tomography Angiography Middle Aged Reproducibility of Results Aortic Aneurysm Aged Aortography
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Antiphospholipid Antibodies and Heart Valve Disease in Systemic Lupus Erythematosus.

The American journal of the medical sciences Jul 20, 2017
Evaluation of antiphospholipid antibodies (aPL) and correlation with heart valve abnormalities among patients with systemic lupus erythematosus (SLE). Nested case-control study was conducted with 70 patients with SLE selected from a longitudinal data...
Odds Ratio Tricuspid Valve Insufficiency Adolescent Mitral Valve Insufficiency Aortic Valve Insufficiency Male Heart Valve Diseases Multivariate Analysis Echocardiography Middle Aged Case-Control Studies Logistic Models Aortic Valve Stenosis Lupus Erythematosus, Systemic Heart Valve Prosthesis Antibodies, Antiphospholipid Mitral Valve Stenosis Humans Female Young Adult Adult
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Relation of Aortic Valve Morphologic Characteristics to Aortic Valve Insufficiency and Residual Stenosis in Children With Congenital Aortic Stenosis Undergoing Balloon Valvuloplasty.

The American journal of cardiology Dec 31, 2015
Aortic valve morphology has been invoked as intrinsic to outcomes of balloon aortic valvuloplasty (BAV) for congenital aortic valve stenosis. We sought to use aortic valve morphologic features to discriminate between valves that respond favorably or ...
Humans Aortic Valve Insufficiency Ultrasonography Infant, Newborn Georgia Balloon Valvuloplasty Infant Treatment Outcome Aortic Valve Stenosis Aortic Valve
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