AIMC Topic: Aortic Valve

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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...
Aortic Valve Predictive Value of Tests Patient Discharge Transcatheter Aortic Valve Replacement Female Risk Factors Aged Aged, 80 and over Male Risk Assessment Length of Stay Time Factors United States Humans Treatment Outcome Aortic Valve Stenosis Neural Networks, Computer Machine Learning Decision Support Techniques Databases, Factual Retrospective Studies Clinical Decision-Making
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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.
Female Reproducibility of Results Risk Factors Aged Male Ventricular Function, Left Humans Prognosis Deep Learning Time Factors United States Calcinosis Aortic Valve Stenosis Aortic Valve Echocardiography Middle Aged Risk Assessment Disease Progression Severity of Illness Index Predictive Value of Tests Ventricular Dysfunction, Left Diastole Sclerosis
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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...
Unsupervised Machine Learning Predictive Value of Tests Heart Failure Aged, 80 and over Male Prognosis Echocardiography Comorbidity Female Middle Aged Severity of Illness Index Reproducibility of Results Risk Assessment Time Factors Risk Factors Cluster Analysis Aged Aortic Valve Stenosis Aortic Valve Humans Phenotype
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Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 8, 2024
BACKGROUND: Four-dimensional cardiovascular magnetic resonance flow imaging (4D flow CMR) plays an important role in assessing cardiovascular diseases. However, the manual or semi-automatic segmentation of aortic vessel boundaries in 4D flow data int...
Hemodynamics Deep Learning Aortic Valve Predictive Value of Tests Young Adult Image Interpretation, Computer-Assisted Regional Blood Flow Humans Adult Bicuspid Aortic Valve Disease Neural Networks, Computer Datasets as Topic Male Female Blood Flow Velocity Middle Aged Reproducibility of Results Aorta Case-Control Studies Aged Perfusion Imaging
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Modeling of valve-in-valve transcatheter aortic valve implantation after aortic root replacement using a 3-dimensional artificial intelligence algorithm.

The Journal of thoracic and cardiovascular surgery Jun 29, 2024
OBJECTIVE: Aortic root replacement requires construction of a composite valve-graft and reimplantation of coronary arteries. This study assessed the feasibility of valve-in-valve transcatheter aortic valve implantation after aortic root replacement.
Artificial Intelligence Algorithms Retrospective Studies Female Aged Aged, 80 and over Humans Feasibility Studies Heart Valve Prosthesis Computed Tomography Angiography Models, Cardiovascular Male Transcatheter Aortic Valve Replacement Imaging, Three-Dimensional Bioprosthesis Treatment Outcome Aortic Valve Prosthesis Design
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Deep-learning survival analysis for patients with calcific aortic valve disease undergoing valve replacement.

Scientific reports May 13, 2024
Calcification of the aortic valve (CAVDS) is a major cause of aortic stenosis (AS) leading to loss of valve function which requires the substitution by surgical aortic valve replacement (SAVR) or transcatheter aortic valve intervention (TAVI). These ...
Heart Valve Prosthesis Implantation Proportional Hazards Models Transcatheter Aortic Valve Replacement Risk Factors Risk Assessment Humans Aged Deep Learning Female Aged, 80 and over Calcinosis Aortic Valve Stenosis Male Aortic Valve Middle Aged Survival Analysis
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Transcatheter Aortic Valve Replacement and Coronary Protection Guided by Deep Learning and 3-Dimensional Printing.

Surgical innovation Apr 2, 2024
OBJECTIVE: In this case report, the auxiliary role of deep learning and 3-dimensional printing technology in the perioperative period was discussed to guide transcatheter aortic valve replacement and coronary stent implantation simultaneously.
Humans Printing, Three-Dimensional Aged Stents Aortic Valve Insufficiency Male Transcatheter Aortic Valve Replacement Deep Learning Aortic Valve Stenosis Aortic Valve
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Diagnostic performance of deep learning to exclude coronary stenosis on CT angiography in TAVI patients.

The international journal of cardiovascular imaging Mar 10, 2024
We evaluated the diagnostic performance of a deep-learning model (DLM) (CorEx®, Spimed-AI, Paris, France) designed to automatically detect > 50% coronary stenosis on coronary computed tomography angiography (CCTA) images. We studied inter-observer va...
Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Observer Variation Humans Coronary Vessels Male False Positive Reactions Severity of Illness Index Multidetector Computed Tomography Deep Learning Computed Tomography Angiography Aortic Valve Stenosis Retrospective Studies Coronary Stenosis Aortic Valve Female Transcatheter Aortic Valve Replacement Reproducibility of Results Aged Aged, 80 and over
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A fully automated artificial intelligence-driven software for planning of transcatheter aortic valve replacement.

Cardiovascular revascularization medicine : including molecular interventions Mar 7, 2024
BACKGROUND: Transcatheter aortic valve replacement (TAVR) is increasingly performed for the treatment of aortic stenosis. Computed tomography (CT) analysis is essential for pre-procedural planning. Currently available software packages for TAVR plann...
Humans Artificial Intelligence Software Reproducibility of Results Automation Aortic Valve Aortic Valve Stenosis Multidetector Computed Tomography Predictive Value of Tests Heart Valve Prosthesis Radiographic Image Interpretation, Computer-Assisted Transcatheter Aortic Valve Replacement Prosthesis Design Software Validation Observer Variation
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Deep learning for transesophageal echocardiography view classification.

Scientific reports Jan 2, 2024
Transesophageal echocardiography (TEE) imaging is a vital tool used in the evaluation of complex cardiac pathology and the management of cardiac surgery patients. A key limitation to the application of deep learning strategies to intraoperative and i...
Echocardiography, Transesophageal Humans Echocardiography Deep Learning Aortic Valve Cardiac Surgical Procedures
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