AIMC Topic: Aortic Valve Stenosis

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Unsupervised Cluster Analysis of Patients With Aortic Stenosis Reveals Distinct Population With Different Phenotypes and Outcomes.

Circulation. Cardiovascular imaging May 18, 2020
BACKGROUND: There is a lack of studies investigating the heterogeneity of patients with aortic stenosis (AS). We explored whether cluster analysis identifies distinct subgroups with different prognostic significances in AS.
Risk Factors Humans Aged Decision Support Techniques Aged, 80 and over Male Echocardiography Phenotype Prospective Studies Prognosis Female Reproducibility of Results Cluster Analysis Aortic Valve Stenosis Aortic Valve Unsupervised Machine Learning Predictive Value of Tests Cause of Death Middle Aged Comorbidity Severity of Illness Index Hemodynamics Age Factors
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Going Deep With ECG and Aortic Stenosis: Touchdown or Incomplete Pass?

Journal of the American Heart Association Mar 21, 2020
Humans Deep Learning Electrocardiography Aortic Valve Stenosis
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Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography.

Journal of the American Heart Association Mar 21, 2020
Background Severe, symptomatic aortic stenosis (AS) is associated with poor prognoses. However, early detection of AS is difficult because of the long asymptomatic period experienced by many patients, during which screening tools are ineffective. The...
Severity of Illness Index Reproducibility of Results Aged Deep Learning Predictive Value of Tests Electrocardiography Aged, 80 and over Signal Processing, Computer-Assisted Humans Male Aortic Valve Stenosis Early Diagnosis Retrospective Studies Middle Aged Aortic Valve Republic of Korea Female
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Enhanced Diagnosis of Severe Aortic Stenosis Using Artificial Intelligence: A Proof-of-Concept Study of 530,871 Echocardiograms.

JACC. Cardiovascular imaging Dec 18, 2019
Male Ventricular Function, Left Echocardiography Middle Aged Severity of Illness Index Prognosis Female Aged Aged, 80 and over Adult Image Interpretation, Computer-Assisted Proof of Concept Study Hemodynamics Diagnosis, Computer-Assisted Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Humans Artificial Intelligence Databases, Factual
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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...
Heart Valve Diseases Pattern Recognition, Automated Aorta, Thoracic Computed Tomography Angiography Aortic Aneurysm Aortography Sinus of Valsalva Aortic Valve Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Aortic Valve Insufficiency Bicuspid Aortic Valve Disease Cross-Sectional Studies Male Middle Aged Diagnosis, Computer-Assisted Aortic Valve Stenosis Humans Machine Learning Phenotype Reproducibility of Results Female Aged Adult
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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...
Tricuspid Valve Insufficiency Aortic Valve Stenosis Lupus Erythematosus, Systemic Mitral Valve Insufficiency Aortic Valve Insufficiency Echocardiography Heart Valve Diseases Humans Multivariate Analysis Middle Aged Female Odds Ratio Young Adult Case-Control Studies Heart Valve Prosthesis Adult Adolescent Antibodies, Antiphospholipid Male Logistic Models Mitral Valve Stenosis
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Robotic transcatheter aortic valve replacement with magnetic resonance imaging is feasible in animal models, but is it feasible in patients?

The Journal of thoracic and cardiovascular surgery Jan 7, 2016
Models, Animal Heart Valve Prosthesis Magnetic Resonance Imaging Cardiac Catheterization Aortic Valve Stenosis Transcatheter Aortic Valve Replacement Aortic Valve Humans Robotics Animals Heart Valve Prosthesis Implantation Treatment Outcome
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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 ...
Treatment Outcome Aortic Valve Stenosis Aortic Valve Aortic Valve Insufficiency Balloon Valvuloplasty Humans Georgia Infant, Newborn Infant Ultrasonography
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A novel method for discrimination between innocent and pathological heart murmurs.

Medical engineering & physics May 21, 2015
This paper presents a novel method for discrimination between innocent and pathological murmurs using the growing time support vector machine (GTSVM). The proposed method is tailored for characterizing innocent murmurs (IM) by putting more emphasis o...
Sensitivity and Specificity Middle Aged Infant Severity of Illness Index Adolescent Child, Preschool Child Support Vector Machine Aortic Valve Stenosis Wavelet Analysis Humans Databases, Factual Aged Aged, 80 and over Heart Murmurs Phonocardiography
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AI-based prediction of left bundle branch block risk post-TAVI using pre-implantation clinical parameters.

Future cardiology Jun 1, 2025
BACKGROUND AND AIMS: Transcatheter Aortic Valve Implantation (TAVI) has revolutionized the treatment of severe aortic stenosis. Although its clinical efficacy is well established, the development of new-onset left bundle branch block (LBBB) following...
Bundle-Branch Block Risk Assessment Postoperative Complications Electrocardiography Female Aortic Valve Stenosis Transcatheter Aortic Valve Replacement Risk Factors Humans Aged Machine Learning Aged, 80 and over Algorithms Male Retrospective Studies
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