AIMC Topic: Aortic Valve Stenosis

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Clinical value of aortic arch morphology in transfemoral TAVR: artificial intelligence evaluation.

International journal of surgery (London, England) Mar 1, 2025
BACKGROUND: The impact of aortic arch (AA) morphology on the management of the procedural details and the clinical outcomes of the transfemoral artery (TF)-transcatheter aortic valve replacement (TAVR) has not been evaluated. The goal of this study w...
Humans Artificial Intelligence Retrospective Studies Female Aortic Valve Stenosis Aorta, Thoracic Femoral Artery Transcatheter Aortic Valve Replacement Aged Aged, 80 and over Male Treatment Outcome
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An Integrative Machine Learning Model for Predicting Early Safety Outcomes in Patients Undergoing Transcatheter Aortic Valve Implantation.

Medicina (Kaunas, Lithuania) Feb 21, 2025
: Early safety outcomes following transcatheter aortic valve implantation (TAVI) for severe aortic stenosis are critical for patient prognosis. Accurate prediction of adverse events can enhance patient management and improve outcomes. : This study ai...
Postoperative Complications Treatment Outcome Aortic Valve Stenosis Transcatheter Aortic Valve Replacement Humans Machine Learning Prognosis Retrospective Studies Female Aged Aged, 80 and over Male
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Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review.

International journal of medical informatics Feb 16, 2025
BACKGROUND: Transcatheter aortic valve implantation (TAVI) therapy has demonstrated its clear benefits such as low invasiveness, to treat aortic stenosis. Despite associated benefits, still post-procedural complications might occur. The severity of t...
Humans Machine Learning Risk Assessment Treatment Outcome Aortic Valve Stenosis Transcatheter Aortic Valve Replacement
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Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiography.

EBioMedicine Jan 21, 2025
BACKGROUND: Transthoracic echocardiography (TTE) is the primary modality for diagnosing aortic stenosis (AS), yet it requires skilled operators and can be resource-intensive. We developed and validated an artificial intelligence (AI)-based system for...
Aged, 80 and over Severity of Illness Index Male Algorithms Humans Deep Learning Echocardiography Prognosis Artificial Intelligence Middle Aged ROC Curve Female Aortic Valve Stenosis Aged
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Machine-learning versus traditional methods for prediction of all-cause mortality after transcatheter aortic valve implantation: a systematic review and meta-analysis.

Open heart Jan 21, 2025
BACKGROUND: Accurate mortality prediction following transcatheter aortic valve implantation (TAVI) is essential for mitigating risk, shared decision-making and periprocedural planning. Surgical risk models have demonstrated modest discriminative valu...
Transcatheter Aortic Valve Replacement Global Health Risk Assessment Humans Aortic Valve Stenosis Machine Learning Cause of Death Risk Factors Survival Rate
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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...
Automation Atrial Function, Left Computed Tomography Angiography Transcatheter Aortic Valve Replacement Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Ventricular Function, Left Stroke Volume Risk Assessment Severity of Illness Index Time Factors Treatment Outcome Aortic Valve Stenosis Aortic Valve Risk Factors Aged Humans Aged, 80 and over Artificial Intelligence Male Retrospective Studies 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...
Gene Expression Profiling Humans Gene Regulatory Networks Aortic Valve Stenosis Transcriptome Machine Learning Computational Biology Aortic Valve Diabetes Mellitus, Type 2 Biomarkers Databases, Genetic Protein Interaction Maps Calcinosis
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AI-Powered Multimodal Modeling of Personalized Hemodynamics in Aortic Stenosis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Dec 12, 2024
Aortic stenosis (AS) is the most common valvular heart disease in developed countries. High-fidelity preclinical models can improve AS management by enabling therapeutic innovation, early diagnosis, and tailored treatment planning. However, their use...
Hemodynamics Humans Artificial Intelligence Algorithms Aortic Valve Stenosis Computer Simulation Models, Cardiovascular Tomography, X-Ray Computed Patient-Specific Modeling
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Artificial Intelligence Improves Prediction of Major Adverse Cardiovascular Events in Patients Undergoing Transcatheter Aortic Valve Replacement Planning CT.

Academic radiology Oct 10, 2024
RATIONALE AND OBJECTIVES: Coronary CT angiography (CCTA) is mandatory before transcatheter aortic valve replacement (TAVR). Our objective was to evaluate the efficacy of artificial intelligence (AI)-powered software in automatically analyzing cardiac...
Retrospective Studies Female Aged Aged, 80 and over Humans Artificial Intelligence Computed Tomography Angiography Transcatheter Aortic Valve Replacement Male Aortic Valve Stenosis Coronary Angiography
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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...
Aortic Valve Models, Statistical Heart Valve Prosthesis Transcatheter Aortic Valve Replacement Machine Learning Computer Simulation Female Aged Aged, 80 and over Male Cohort Studies Aortic Valve Stenosis Humans Neural Networks, Computer
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