AIMC Topic: Aortic Valve

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Prevalence of low-flow state by automated machine-learning 3D echocardiography in patients with moderate-to-severe aortic stenosis and normal ejection-fraction.

The international journal of cardiovascular imaging Apr 10, 2025
BACKGROUND: In aortic valve stenosis (AS), measurement of stroke volume index (SVi) by the 2D Doppler- technique is required to calculate the aortic valve area (AVA) and determine flow status but is prone to systematic errors.
Female Reproducibility of Results Aged Aged, 80 and over Male Ventricular Function, Left Humans Machine Learning Predictive Value of Tests Image Interpretation, Computer-Assisted Automation Echocardiography, Doppler Blood Flow Velocity Echocardiography, Three-Dimensional Stroke Volume Prevalence Severity of Illness Index Hemodynamics Aortic Valve Stenosis Aortic Valve
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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.
Retrospective Studies Female Reproducibility of Results Risk Factors Aged Adult Humans Machine Learning Decision Support Techniques Phenotype Prognosis Aortic Valve Insufficiency Magnetic Resonance Imaging, Cine Time Factors United States Aortic Valve Unsupervised Machine Learning Male Predictive Value of Tests Ventricular Function, Left Sex Factors Middle Aged Risk Assessment Disease Progression Severity of Illness Index
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Technical implications of a novel deep learning system in the segmentation and evaluation of computed tomography angiography before transcatheter aortic valve replacement.

Therapeutic advances in cardiovascular disease Mar 24, 2025
OBJECTIVE: The goal of this study was to compare the computed tomography angiography scans of the segmentation results from the Cvpilot, 3mensio, and Volume Viewer systems to explore the practicability of the Cvpilot system in the automatic segmentat...
Female Reproducibility of Results Aged Aged, 80 and over Male Deep Learning Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Multidetector Computed Tomography Computed Tomography Angiography Humans Retrospective Studies Transcatheter Aortic Valve Replacement Aortography
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Deep learning based automatic quantification of aortic valve calcification on contrast enhanced coronary CT angiography.

Scientific reports Mar 12, 2025
Quantifying aortic valve calcification is critical for assessing the severity of aortic stenosis, predicting cardiovascular risk, and guiding treatment decisions. This study evaluated the feasibility of a deep learning-based automatic quantification ...
Aortic Valve Stenosis Aortic Valve Coronary Angiography Computed Tomography Angiography Humans Retrospective Studies Female Aged Aged, 80 and over Male Middle Aged Deep Learning Contrast Media Calcinosis
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Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index.

Journal of cardiovascular computed tomography Jan 9, 2025
BACKGROUND: This study aimed to determine whether artificial intelligence (AI)-based automated assessment of left atrioventricular coupling index (LACI) can provide incremental value above other traditional risk factors for predicting mortality among...
Transcatheter Aortic Valve Replacement Risk Assessment Severity of Illness Index Time Factors Treatment Outcome Aortic Valve Stenosis Aortic Valve Risk Factors Predictive Value of Tests Coronary Angiography Aged Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Humans Automation Male Artificial Intelligence Ventricular Function, Left Atrial Function, Left Retrospective Studies Stroke Volume Computed Tomography Angiography Female
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Identification and validation of the diagnostic biomarker MFAP5 for CAVD with type 2 diabetes by bioinformatics analysis.

Frontiers in immunology Dec 19, 2024
INTRODUCTION: Calcific aortic valve disease (CAVD) is increasingly prevalent among the aging population, and there is a notable lack of drug therapies. Consequently, identifying novel drug targets will be of utmost importance. Given that type 2 diabe...
Aortic Valve Stenosis Aortic Valve Diabetes Mellitus, Type 2 Humans Protein Interaction Maps Machine Learning Gene Regulatory Networks Biomarkers Computational Biology Gene Expression Profiling Databases, Genetic Transcriptome Calcinosis
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Generation of a virtual cohort of TAVI patients for in silico trials: a statistical shape and machine learning analysis.

Medical & biological engineering & computing Oct 10, 2024
PURPOSE: In silico trials using computational modeling and simulations can complement clinical trials to improve the time-to-market of complex cardiovascular devices in humans. This study aims to investigate the significance of synthetic data in deve...
Male Cohort Studies Aortic Valve Stenosis Aortic Valve Models, Statistical Heart Valve Prosthesis Neural Networks, Computer Machine Learning Computer Simulation Female Aged Aged, 80 and over Transcatheter Aortic Valve Replacement Humans
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Using novel machine learning tools to predict optimal discharge following transcatheter aortic valve replacement.

Archives of cardiovascular diseases Oct 5, 2024
BACKGROUND: Although transcatheter aortic valve replacement has emerged as an alternative to surgical aortic valve replacement, it requires extensive healthcare resources, and optimal length of hospital stay has become increasingly important. This st...
Male Risk Assessment Length of Stay Time Factors United States Treatment Outcome Aortic Valve Stenosis Aortic Valve Retrospective Studies Predictive Value of Tests Clinical Decision-Making Patient Discharge Female Transcatheter Aortic Valve Replacement Risk Factors Humans Aged Neural Networks, Computer Aged, 80 and over Machine Learning Decision Support Techniques Databases, Factual
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Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis.

JACC. Cardiovascular imaging Sep 18, 2024
BACKGROUND: The development and progression of aortic stenosis (AS) from aortic valve (AV) sclerosis is highly variable and difficult to predict.
Predictive Value of Tests Ventricular Dysfunction, Left Diastole Sclerosis Humans Deep Learning Time Factors United States Calcinosis Aortic Valve Stenosis Ventricular Function, Left Aortic Valve Echocardiography Prognosis Middle Aged Female Risk Assessment Reproducibility of Results Disease Progression Risk Factors Severity of Illness Index Aged Male
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Definition and Validation of Prognostic Phenotypes in Moderate Aortic Stenosis.

JACC. Cardiovascular imaging Aug 14, 2024
BACKGROUND: Adverse outcomes from moderate aortic stenosis (AS) may be caused by progression to severe AS or by the effects of comorbidities. In the absence of randomized trial evidence favoring aortic valve replacement (AVR) in patients with moderat...
Aortic Valve Stenosis Aortic Valve Unsupervised Machine Learning Predictive Value of Tests Humans Heart Failure Middle Aged Reproducibility of Results Phenotype Risk Assessment Risk Factors Prognosis Comorbidity Aged Female Severity of Illness Index Aged, 80 and over Time Factors Male Cluster Analysis Echocardiography
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