AIMC Topic: Aortic Valve

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Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 7, 2019
BACKGROUND: Phase contrast (PC) cardiovascular magnetic resonance (CMR) is widely employed for flow quantification, but analysis typically requires time consuming manual segmentation which can require human correction. Advances in machine learning ha...
Machine Learning Prospective Studies Retrospective Studies Female Humans Hemodynamics United States Aortic Valve Predictive Value of Tests Heart Diseases Reproducibility of Results Aged Male Middle Aged Aorta Myocardial Perfusion Imaging Magnetic Resonance Imaging, Cine Image Interpretation, Computer-Assisted Automation Proof of Concept Study Blood Flow Velocity
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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...
Aortic Aneurysm Aortography Sinus of Valsalva Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Aortic Valve Insufficiency Bicuspid Aortic Valve Disease Heart Valve Diseases Pattern Recognition, Automated Aorta, Thoracic Computed Tomography Angiography Middle Aged Diagnosis, Computer-Assisted Phenotype Aortic Valve Stenosis Female Aortic Valve Reproducibility of Results Humans Machine Learning Aged Adult Cross-Sectional Studies Male
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Early surgery after angiography in patients scheduled for valve replacement.

Asian cardiovascular & thoracic annals Nov 14, 2016
Background There are limited data regarding the risks of cardiac surgery early after coronary angiography in patients scheduled for isolated aortic and/or mitral valve replacement. Our aim was to evaluate the risk of early surgery after coronary angi...
Heart Valve Diseases Heart Valve Prosthesis Implantation Time-to-Treatment Male Renal Insufficiency Middle Aged Coronary Angiography Female Humans Risk Assessment Creatinine Hospital Mortality Risk Factors Biomarkers Time Factors Patient Selection Aged Retrospective Studies Treatment Outcome Mitral Valve Aged, 80 and over Acute Kidney Injury Aortic Valve Predictive Value of Tests
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Machine learning-based 3-D geometry reconstruction and modeling of aortic valve deformation using 3-D computed tomography images.

International journal for numerical methods in biomedical engineering Oct 7, 2016
To conduct a patient-specific computational modeling of the aortic valve, 3-D aortic valve anatomic geometries of an individual patient need to be reconstructed from clinical 3-D cardiac images. Currently, most of computational studies involve manual...
Tomography, X-Ray Computed Imaging, Three-Dimensional Aortic Valve Finite Element Analysis Humans Machine Learning Computer Simulation
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Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.

IEEE transactions on medical imaging Mar 7, 2016
Robust and fast solutions for anatomical object detection and segmentation support the entire clinical workflow from diagnosis, patient stratification, therapy planning, intervention and follow-up. Current state-of-the-art techniques for parsing volu...
Neural Networks, Computer Machine Learning Algorithms Humans Echocardiography, Transesophageal Databases, Factual Image Processing, Computer-Assisted Aortic Valve Pattern Recognition, Automated
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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
Heart Valve Prosthesis Implantation Models, Animal Magnetic Resonance Imaging Heart Valve Prosthesis Aortic Valve Stenosis Humans Transcatheter Aortic Valve Replacement Aortic Valve Cardiac Catheterization Animals Robotics 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 ...
Georgia Treatment Outcome Humans Aortic Valve Aortic Valve Stenosis Infant, Newborn Aortic Valve Insufficiency Infant Balloon Valvuloplasty Ultrasonography
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Analyzing Key Predictors of Postoperative Delirium Following Coronary Artery Bypass Grafting and Aortic Valve Replacement: A Machine Learning Perspective.

Medicina (Kaunas, Lithuania) May 13, 2025
: Postoperative delirium (POD) is a frequent and severe complication following cardiac surgery, particularly in high-risk patients undergoing coronary artery bypass grafting (CABG) and aortic valve replacement (AVR). Despite extensive research, predi...
Female Risk Factors Aged Male Humans Machine Learning Logistic Models Aortic Valve Delirium Heart Valve Prosthesis Implantation Coronary Artery Bypass Middle Aged Postoperative Complications Respiration, Artificial ROC Curve
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Severe aortic stenosis detection by deep learning applied to echocardiography.

European heart journal Nov 14, 2023
BACKGROUND AND AIMS: Early diagnosis of aortic stenosis (AS) is critical to prevent morbidity and mortality but requires skilled examination with Doppler imaging. This study reports the development and validation of a novel deep learning model that r...
Aortic Valve Stenosis Aortic Valve Echocardiography Deep Learning Ultrasonography Humans
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Multi-modality imaging in aortic stenosis: an EACVI clinical consensus document.

European heart journal. Cardiovascular Imaging Oct 27, 2023
In this EACVI clinical scientific update, we will explore the current use of multi-modality imaging in the diagnosis, risk stratification, and follow-up of patients with aortic stenosis, with a particular focus on recent developments and future direc...
Artificial Intelligence Humans Multimodal Imaging Consensus Aortic Valve Stenosis Aortic Valve
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