AIMC Topic: Aortic Valve Stenosis

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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...
Mitral Valve Mitral Valve Insufficiency Transcatheter Aortic Valve Replacement Treatment Outcome Aortic Valve Stenosis Predictive Value of Tests Retrospective Studies Humans Female Machine Learning Aged Risk Assessment Risk Factors Decision Support Techniques Aged, 80 and over Severity of Illness Index Time Factors Male
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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...
Aortic Valve Stenosis Predictive Value of Tests Transcatheter Aortic Valve Replacement Humans Machine Learning Risk Factors Risk Assessment Postoperative Complications Treatment Outcome
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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...
Reproducibility of Results Aged Male Humans Machine Learning Stroke Volume Aortic Valve Stenosis Female Ventricular Dysfunction, Left Echocardiography Heart Ventricles Early Diagnosis Middle Aged
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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...
Humans Artificial Intelligence Sensitivity and Specificity Electrocardiography Mass Screening Aortic Valve Stenosis
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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...
Humans Artificial Intelligence Biomarkers Male Echocardiography Middle Aged Disease Progression Female Aged Aged, 80 and over Aortic Valve Stenosis Multimodal Imaging Video Recording Severity of Illness Index Cohort Studies Magnetic Resonance Imaging
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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...
Ultrasonography Aortic Valve Stenosis Aortic Valve Humans Echocardiography Deep Learning
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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...
Humans Aortic Valve Consensus Artificial Intelligence Multimodal Imaging Aortic Valve Stenosis
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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...
Heart Valve Diseases Aortic Valve Stenosis Mitral Valve Insufficiency Humans Aortic Valve Insufficiency Deep Learning Electrocardiography
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Progression of Calcific Aortic Stenosis Detected by Artificial Intelligence Electrocardiogram.

Mayo Clinic proceedings Jun 1, 2022
Humans Artificial Intelligence Electrocardiography Calcinosis Aortic Valve Stenosis Aortic Valve
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Electrocardiogram screening for aortic valve stenosis using artificial intelligence.

European heart journal Aug 7, 2021
AIMS: Early detection of aortic stenosis (AS) is becoming increasingly important with a better outcome after aortic valve replacement in asymptomatic severe AS patients and a poor outcome in moderate AS. We aimed to develop artificial intelligence-en...
Retrospective Studies Humans Mass Screening Aged Female Aortic Valve Stenosis Male Neural Networks, Computer Adult Middle Aged Aortic Valve Artificial Intelligence Electrocardiography
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