AIMC Topic: Aortic Valve Stenosis
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A novel method for discrimination between innocent and pathological heart murmurs.
Medical engineering & physics
May 21, 2015
This paper presents a novel method for discrimination between innocent and pathological murmurs using the growing time support vector machine (GTSVM). The proposed method is tailored for characterizing innocent murmurs (IM) by putting more emphasis o...
AI-based prediction of left bundle branch block risk post-TAVI using pre-implantation clinical parameters.
Future cardiology
Jun 1, 2025
BACKGROUND AND AIMS: Transcatheter Aortic Valve Implantation (TAVI) has revolutionized the treatment of severe aortic stenosis. Although its clinical efficacy is well established, the development of new-onset left bundle branch block (LBBB) following...
Risk factors and predictive models for post-operative moderate-to-severe mitral regurgitation following transcatheter aortic valve replacement: a machine learning approach.
BMC cardiovascular disorders
May 10, 2025
BACKGROUND: Post-operative moderate-to-severe mitral regurgitation (MR) following transcatheter aortic valve replacement (TAVR) is associated with poor outcomes, yet the factors contributing to this complication are not well understood. This study ai...
Transcatheter Aortic Valve Replacement
Aged, 80 and over
Retrospective Studies
Severity of Illness Index
Male
Humans
Predictive Value of Tests
Time Factors
Female
Risk Assessment
Machine Learning
Treatment Outcome
Risk Factors
Mitral Valve
Decision Support Techniques
Aortic Valve Stenosis
Aged
Mitral Valve Insufficiency
Machine-learning approaches for risk prediction in transcatheter aortic valve implantation: Systematic review and meta-analysis.
The Journal of thoracic and cardiovascular surgery
May 1, 2025
OBJECTIVES: With the expanding integration of artificial intelligence (AI) and machine learning (ML) into the structural heart domain, numerous ML models have emerged for the prediction of adverse outcomes after transcatheter aortic valve implantatio...
Early Detection of Left Ventricular Dysfunction With Machine Learning-Based Strain Imaging in Aortic Stenosis Patients.
Echocardiography (Mount Kisco, N.Y.)
Nov 1, 2024
PURPOSE: Aortic stenosis (AS) is a common cardiovascular condition where early detection of left ventricular (LV) dysfunction is essential for timely intervention and optimal management. Current echocardiographic measurements, such as ejection fracti...
Diagnostic Accuracy of AI Algorithms in Aortic Stenosis Screening: A Systematic Review and Meta-Analysis.
Clinical medicine & research
Sep 1, 2024
Aortic stenosis (AS) is frequently identified at an advanced stage after clinical symptoms appear. The aim of this systematic review and meta-analysis is to evaluate the diagnostic accuracy of artificial intelligence (AI) algorithms for AS screening...
A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression.
JAMA cardiology
Jun 1, 2024
IMPORTANCE: Aortic stenosis (AS) is a major public health challenge with a growing therapeutic landscape, but current biomarkers do not inform personalized screening and follow-up. A video-based artificial intelligence (AI) biomarker (Digital AS Seve...
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...
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...
Deep Learning Electrocardiographic Analysis for Detection of Left-Sided Valvular Heart Disease.
Journal of the American College of Cardiology
Aug 9, 2022
BACKGROUND: Valvular heart disease is an important contributor to cardiovascular morbidity and mortality and remains underdiagnosed. Deep learning analysis of electrocardiography (ECG) may be useful in detecting aortic stenosis (AS), aortic regurgita...
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