AIMC Topic: Transcatheter Aortic Valve Replacement

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Two birds with one stone: pre-TAVI coronary CT angiography combined with FFR helps screen for coronary stenosis.

BMC medical imaging May 26, 2025
OBJECTIVES: Since coronary artery disease (CAD) is a common comorbidity in patients with aortic valve stenosis, invasive coronary angiography (ICA) can be avoided if significant CAD can be screened with the non-invasive coronary CT angiography (cCTA)...
Female Aged Aged, 80 and over Sensitivity and Specificity Humans Machine Learning Retrospective Studies Coronary Artery Disease Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Transcatheter Aortic Valve Replacement Male Aortic Valve Stenosis Predictive Value of Tests Coronary Angiography
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Multimodal Visualization and Explainable Machine Learning-Driven Markers Enable Early Identification and Prognosis Prediction for Symptomatic Aortic Stenosis and Heart Failure With Preserved Ejection Fraction After Transcatheter Aortic Valve Replacement: Multicenter Cohort Study.

Journal of medical Internet research May 1, 2025
BACKGROUND: Currently, there is a paucity of literature addressing personalized risk stratification using multimodal data in patients with symptomatic aortic stenosis and heart failure with preserved ejection fraction (HFpEF) following transcatheter ...
Transcatheter Aortic Valve Replacement Female Aged Aged, 80 and over Male Humans Cohort Studies Machine Learning Stroke Volume Aortic Valve Stenosis Biomarkers Heart Failure Risk Assessment Prognosis
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Technical implications of a novel deep learning system in the segmentation and evaluation of computed tomography angiography before transcatheter aortic valve replacement.

Therapeutic advances in cardiovascular disease Mar 24, 2025
OBJECTIVE: The goal of this study was to compare the computed tomography angiography scans of the segmentation results from the Cvpilot, 3mensio, and Volume Viewer systems to explore the practicability of the Cvpilot system in the automatic segmentat...
Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Aged Multidetector Computed Tomography Humans Computed Tomography Angiography Aged, 80 and over Retrospective Studies Transcatheter Aortic Valve Replacement Male Female Aortography Deep Learning Reproducibility of Results
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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...
Female Aged Aged, 80 and over Male Treatment Outcome Humans Artificial Intelligence Retrospective Studies Aortic Valve Stenosis Aorta, Thoracic Femoral Artery Transcatheter Aortic Valve Replacement
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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...
Humans Aged Machine Learning Treatment Outcome Aged, 80 and over Prognosis Aortic Valve Stenosis Male Retrospective Studies Transcatheter Aortic Valve Replacement Postoperative Complications Female
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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 Treatment Outcome Aortic Valve Stenosis Machine Learning Transcatheter Aortic Valve Replacement Risk Assessment
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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...
Global Health Humans Risk Assessment Machine Learning Risk Factors Aortic Valve Stenosis Transcatheter Aortic Valve Replacement Cause of Death 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...
Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Automation Atrial Function, Left Female Computed Tomography Angiography Time Factors Risk Factors Transcatheter Aortic Valve Replacement Treatment Outcome Aged Ventricular Function, Left Aortic Valve Stenosis Aged, 80 and over Stroke Volume Aortic Valve Male Humans Risk Assessment Artificial Intelligence Severity of Illness Index Retrospective Studies
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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...
Coronary Angiography Computed Tomography Angiography Transcatheter Aortic Valve Replacement Aged Aged, 80 and over Male Humans Aortic Valve Stenosis Artificial Intelligence Retrospective Studies Female
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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 Stenosis Aortic Valve Models, Statistical Heart Valve Prosthesis Aged Aged, 80 and over Male Cohort Studies Transcatheter Aortic Valve Replacement Humans Neural Networks, Computer Machine Learning Computer Simulation Female
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