AIMC Topic: Aortic Valve Stenosis

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Soft robotic patient-specific hydrodynamic model of aortic stenosis and ventricular remodeling.

Science robotics Feb 22, 2023
Aortic stenosis (AS) affects about 1.5 million people in the United States and is associated with a 5-year survival rate of 20% if untreated. In these patients, aortic valve replacement is performed to restore adequate hemodynamics and alleviate symp...
Robotics Ventricular Remodeling Hydrodynamics Transcatheter Aortic Valve Replacement Humans United States Treatment Outcome Aortic Valve Stenosis
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Automated Detection of Aortic Stenosis Using Machine Learning.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Jan 11, 2023
BACKGROUND: Aortic stenosis (AS) is a degenerative valve condition that is underdiagnosed and undertreated. Detection of AS using limited two-dimensional echocardiography could enable screening and improve appropriate referral and treatment of this c...
Machine Learning Reproducibility of Results Echocardiography Aortic Valve Stenosis Humans Neural Networks, Computer
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Identifying Aortic Stenosis With a Single Parasternal Long-Axis Video Using Deep Learning.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Oct 30, 2022
Aortic Valve Humans Deep Learning Aortic Valve Stenosis
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Unsupervised clustering of patients with severe aortic stenosis: A myocardial continuum.

Archives of cardiovascular diseases Sep 29, 2022
BACKGROUND: Traditional statistics, based on prediction models with a limited number of prespecified variables, are probably not adequate to provide an appropriate classification of a condition that is as heterogeneous as aortic stenosis (AS).
Female Aged Male Severity of Illness Index Humans Artificial Intelligence Ventricular Remodeling Cluster Analysis Aortic Valve Stenosis Aortic Valve
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A soft robotic sleeve mimicking the haemodynamics and biomechanics of left ventricular pressure overload and aortic stenosis.

Nature biomedical engineering Sep 26, 2022
Preclinical models of aortic stenosis can induce left ventricular pressure overload and coarsely control the severity of aortic constriction. However, they do not recapitulate the haemodynamics and flow patterns associated with the disease. Here we r...
Hemodynamics Aortic Valve Stenosis Robotics Ventricular Pressure Biomechanical Phenomena Animals Swine
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Development of a deep learning-based algorithm for the automatic detection and quantification of aortic valve calcium.

European journal of radiology Feb 6, 2021
PURPOSE: We aimed to develop a deep learning (DL)-based algorithm for automated quantification of aortic valve calcium (AVC) from non-enhanced electrocardiogram-gated cardiac CT scans and compare performance of DL-measured AVC volume and Agatston sco...
Deep Learning Calcinosis Aortic Valve Stenosis Aortic Valve Algorithms Retrospective Studies Severity of Illness Index Calcium Humans
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Machine learning method for predicting pacemaker implantation following transcatheter aortic valve replacement.

Pacing and clinical electrophysiology : PACE Jan 28, 2021
BACKGROUND: An accurate assessment of permanent pacemaker implantation (PPI) risk following transcatheter aortic valve replacement (TAVR) is important for clinical decision making. The aims of this study were to investigate the significance and utili...
Logistic Models Aortic Valve Stenosis Arrhythmias, Cardiac Transcatheter Aortic Valve Replacement Aged, 80 and over Humans Prosthesis Implantation Male Machine Learning Pacemaker, Artificial Risk Assessment Forecasting Postoperative Complications Retrospective Studies Female Aged
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Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease.

Science (New York, N.Y.) Dec 10, 2020
Mapping the gene-regulatory networks dysregulated in human disease would allow the design of network-correcting therapies that treat the core disease mechanism. However, small molecules are traditionally screened for their effects on one to several o...
Animals Drug Discovery Gene Regulatory Networks Aortic Valve Disease Calcinosis Aortic Valve Stenosis Aortic Valve RNA-Seq Humans Machine Learning Algorithms Drug Evaluation, Preclinical Thiazoles Gene Expression Regulation Nitriles Small Molecule Libraries Induced Pluripotent Stem Cells Receptor, Notch1 Haploinsufficiency Mice Disease Models, Animal Mice, Inbred C57BL
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Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning.

Korean journal of radiology Nov 3, 2020
OBJECTIVE: We aimed to develop a prediction model for diagnosing severe aortic stenosis (AS) using computed tomography (CT) radiomics features of aortic valve calcium (AVC) and machine learning (ML) algorithms.
Calcium Severity of Illness Index Aortic Valve Stenosis Aortic Valve Humans Machine Learning Aged Retrospective Studies Male Tomography, X-Ray Computed Echocardiography Female Middle Aged
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Classification of aortic stenosis using conventional machine learning and deep learning methods based on multi-dimensional cardio-mechanical signals.

Scientific reports Oct 16, 2020
This paper introduces a study on the classification of aortic stenosis (AS) based on cardio-mechanical signals collected using non-invasive wearable inertial sensors. Measurements were taken from 21 AS patients and 13 non-AS subjects. A feature analy...
Finite Element Analysis Biomedical Engineering Heart Elasticity Wavelet Analysis Male Humans Algorithms Middle Aged Neural Networks, Computer Female Deep Learning Machine Learning Pilot Projects Reproducibility of Results Aortic Valve Stenosis Aged Decision Trees Signal Processing, Computer-Assisted
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