AIMC Topic: Aortic Valve Stenosis

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Usefulness of Semisupervised Machine-Learning-Based Phenogrouping to Improve Risk Assessment for Patients Undergoing Transcatheter Aortic Valve Implantation.

The American journal of cardiology Sep 15, 2020
Semisupervised machine-learning methods are able to learn from fewer labeled patient data. We illustrate the potential use of a semisupervised automated machine-learning (AutoML) pipeline for phenotyping patients who underwent transcatheter aortic va...
Humans Machine Learning Phenotype Severity of Illness Index Cohort Studies Treatment Outcome Aortic Valve Stenosis Transcatheter Aortic Valve Replacement Female Aged Aged, 80 and over Male Risk Assessment
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Performance of a Machine Learning Algorithm in Predicting Outcomes of Aortic Valve Replacement.

The Annals of thoracic surgery Jul 17, 2020
BACKGROUND: This study evaluated the performance of a machine learning (ML) algorithm in predicting outcomes of surgical aortic valve replacement (SAVR).
Education, Medical, Graduate Transcatheter Aortic Valve Replacement Aged Male ROC Curve Aortic Valve Stenosis Aortic Valve Humans Machine Learning Algorithms Prognosis Female
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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.
Prognosis Female Reproducibility of Results Risk Factors Aged Humans Decision Support Techniques Phenotype Prospective Studies Aortic Valve Stenosis Aged, 80 and over Aortic Valve Male Unsupervised Machine Learning Echocardiography Predictive Value of Tests Middle Aged Cause of Death Comorbidity Severity of Illness Index Hemodynamics Age Factors Cluster Analysis
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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...
Electrocardiography Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Signal Processing, Computer-Assisted Aged, 80 and over Male Middle Aged Severity of Illness Index Deep Learning Early Diagnosis Humans Retrospective Studies Republic of Korea Female Reproducibility of Results Aged
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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
Aortic Valve Stenosis Aortic Valve Artificial Intelligence Predictive Value of Tests Databases, Factual Aged, 80 and over Prognosis Image Interpretation, Computer-Assisted Humans Adult Female Proof of Concept Study Aged Male Middle Aged Ventricular Function, Left Severity of Illness Index Echocardiography Hemodynamics Diagnosis, Computer-Assisted
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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...
Aged Adult Cross-Sectional Studies Male Middle Aged Diagnosis, Computer-Assisted Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Humans Aortic Valve Insufficiency Aortic Aneurysm Machine Learning Aortography Bicuspid Aortic Valve Disease Phenotype Sinus of Valsalva Heart Valve Diseases Female Pattern Recognition, Automated Reproducibility of Results Aorta, Thoracic
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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...
Mitral Valve Stenosis Tricuspid Valve Insufficiency Logistic Models Aortic Valve Stenosis Lupus Erythematosus, Systemic Humans Heart Valve Diseases Male Mitral Valve Insufficiency Multivariate Analysis Echocardiography Odds Ratio Female Aortic Valve Insufficiency Middle Aged Heart Valve Prosthesis Young Adult Case-Control Studies Antibodies, Antiphospholipid Adult Adolescent
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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 Cardiac Catheterization Transcatheter Aortic Valve Replacement Magnetic Resonance Imaging Humans Aortic Valve Stenosis Animals Aortic Valve Treatment Outcome Robotics Heart Valve Prosthesis Implantation
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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 ...
Ultrasonography Treatment Outcome Humans Aortic Valve Stenosis Balloon Valvuloplasty Infant, Newborn Georgia Aortic Valve Infant Aortic Valve Insufficiency
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