AIMC Topic: Aortic Valve

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Machine learning and multi-omics integration reveal TRPV2 as a central regulator in bicuspid aortic valve calcification.

Biochemical and biophysical research communications Oct 21, 2025
BACKGROUND: Bicuspid aortic valve (BAV), the most common congenital heart defect, is strongly predisposed to early calcification, yet the molecular drivers remain poorly defined. This study aims to identify the functional role of transient receptor p...
Animals Gene Expression Profiling TRPV Cation Channels Gene Regulatory Networks Mice RNA, Long Noncoding Osteogenesis Bicuspid Aortic Valve Disease Humans Heart Valve Diseases Machine Learning Calcium Channels Aortic Valve Disease Multiomics Calcinosis Aortic Valve Stenosis Aortic Valve MicroRNAs
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Automated transcatheter heart valve 4DCT-based deformation assessment throughout the cardiac cycle: Towards enhanced long-term durability.

International journal of medical informatics Jun 7, 2025
BACKGROUND: Transcatheter heart valve (THV) durability is a critical concern, and its deformation may influence long-term performance. Current assessments rely on CT-based single-phase measurements and require a tedious analysis process, potentially ...
Humans Heart Valve Prosthesis Female Transcatheter Aortic Valve Replacement Aged Four-Dimensional Computed Tomography Aged, 80 and over Male 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.
Aged, 80 and over Male Ventricular Function, Left Stroke Volume Prevalence Humans Machine Learning Female Reproducibility of Results Aged Image Interpretation, Computer-Assisted Automation Echocardiography, Doppler Blood Flow Velocity Echocardiography, Three-Dimensional Severity of Illness Index Hemodynamics Aortic Valve Stenosis Aortic Valve Predictive Value of Tests
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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.
Aortic Valve Insufficiency Magnetic Resonance Imaging, Cine United States Aortic Valve Reproducibility of Results Unsupervised Machine Learning Risk Factors Predictive Value of Tests Aged Sex Factors Adult Decision Support Techniques Male Phenotype Ventricular Function, Left Prognosis Middle Aged Retrospective Studies Humans Risk Assessment Female Machine Learning Disease Progression Severity of Illness Index Time Factors
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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...
Computed Tomography Angiography Humans Transcatheter Aortic Valve Replacement Retrospective Studies Aortography Female Aortic Valve Stenosis Reproducibility of Results Aortic Valve Aged Predictive Value of Tests Aged, 80 and over Radiographic Image Interpretation, Computer-Assisted Male Multidetector Computed Tomography Deep Learning
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Deep Learning-Based Contrast Boosting in Low-Contrast Media Pre-TAVR CT Imaging.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Mar 12, 2025
This study investigates the impact of deep learning-based contrast boosting (DL-CB) on image quality and measurement reliability in low-contrast media (low-CM) CT for pre-transcatheter aortic valve replacement (TAVR) assessment. This retrospective ...
Signal-To-Noise Ratio Transcatheter Aortic Valve Replacement Iopamidol Tomography, X-Ray Computed Male Female Humans Deep Learning Reproducibility of Results Retrospective Studies Contrast Media Aged Aortic Valve Stenosis Aged, 80 and over Aortic Valve Radiographic Image Interpretation, Computer-Assisted
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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 ...
Aged Aged, 80 and over Male Middle Aged Deep Learning Contrast Media Calcinosis Aortic Valve Stenosis Aortic Valve Humans Coronary Angiography Computed Tomography Angiography Retrospective Studies Female
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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...
Radiographic Image Interpretation, Computer-Assisted Automation Atrial Function, Left Computed Tomography Angiography Transcatheter Aortic Valve Replacement Treatment Outcome Humans Male Aortic Valve Stenosis Artificial Intelligence Aortic Valve Ventricular Function, Left Predictive Value of Tests Retrospective Studies Stroke Volume Coronary Angiography Female Risk Assessment Risk Factors Severity of Illness Index Aged Time Factors Aged, 80 and over
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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...
Diabetes Mellitus, Type 2 Humans Calcinosis Protein Interaction Maps Machine Learning Aortic Valve Stenosis Gene Regulatory Networks Aortic Valve Biomarkers Computational Biology Gene Expression Profiling Databases, Genetic Transcriptome
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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...
Humans Neural Networks, Computer Machine Learning Computer Simulation Female Aged Aged, 80 and over Male Cohort Studies Models, Statistical Aortic Valve Stenosis Heart Valve Prosthesis Aortic Valve Transcatheter Aortic Valve Replacement
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