AIMC Topic: Aortic Valve Stenosis

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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...
Transcatheter Aortic Valve Replacement Machine Learning Risk Assessment Treatment Outcome Aortic Valve Stenosis Humans
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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...
Humans Artificial Intelligence Algorithms Prognosis Female Aged Severity of Illness Index Deep Learning Aged, 80 and over ROC Curve Aortic Valve Stenosis Male Echocardiography Middle 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...
Cause of Death Transcatheter Aortic Valve Replacement Survival Rate Global Health Risk Assessment Aortic Valve Stenosis Humans Machine Learning Risk Factors
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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...
Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Automation Atrial Function, Left Computed Tomography Angiography Transcatheter Aortic Valve Replacement Treatment Outcome Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Stroke Volume Risk Assessment Severity of Illness Index Time Factors Humans Artificial Intelligence Retrospective Studies Female Aged, 80 and over Male Ventricular Function, Left Risk Factors Aged
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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...
Computational Biology Transcriptome Humans Aortic Valve Diabetes Mellitus, Type 2 Databases, Genetic Machine Learning Calcinosis Protein Interaction Maps Biomarkers Aortic Valve Stenosis Gene Expression Profiling Gene Regulatory Networks
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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...
Patient-Specific Modeling Computer Simulation Tomography, X-Ray Computed Humans Artificial Intelligence Hemodynamics Algorithms Aortic Valve Stenosis Models, Cardiovascular
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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...
Humans Artificial Intelligence Retrospective Studies Coronary Angiography Aged, 80 and over Computed Tomography Angiography Male Transcatheter Aortic Valve Replacement Aortic Valve Stenosis Female Aged
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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...
Neural Networks, Computer Machine Learning Computer Simulation Female Humans Aortic Valve Stenosis Aortic Valve Models, Statistical Heart Valve Prosthesis Transcatheter Aortic Valve Replacement Aged Aged, 80 and over Male Cohort Studies
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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...
Clinical Decision-Making Female Risk Factors Aged Machine Learning Decision Support Techniques Databases, Factual Retrospective Studies Time Factors United States Treatment Outcome Aortic Valve Stenosis Aortic Valve Aged, 80 and over Male Risk Assessment Length of Stay Humans Neural Networks, Computer Predictive Value of Tests Patient Discharge Transcatheter Aortic Valve Replacement
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Multi-modality artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosis.

European journal of nuclear medicine and molecular imaging Sep 23, 2024
PURPOSE: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a frequent concomitant condition in patients with severe aortic stenosis (AS), yet it often remains undetected. This study aims to comprehensively evaluate artificial intelligence-based model...
Severity of Illness Index Aortic Valve Stenosis Multimodal Imaging Humans Cardiomyopathies Artificial Intelligence Female Amyloid Neuropathies, Familial Aged Prospective Studies Aged, 80 and over Male
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