AIMC Topic: Transcatheter Aortic Valve Replacement

Clear Filters Showing 1 to 10 of 47 articles

Opportunistic computed tomography (CT) assessment of osteoporosis in patients undergoing transcatheter aortic valve replacement (TAVR).

Archives of osteoporosis Jul 17, 2025
UNLABELLED: CT-based opportunistic screening using artificial intelligence finds a high prevalence (43%) of osteoporosis in CT scans obtained for planning of transcatheter aortic valve replacement. Thus, opportunistic screening may be a cost-effectiv...
Osteoporosis Tomography, X-Ray Computed Female Aged Humans Artificial Intelligence Algorithms Bone Density Aged, 80 and over Male Aortic Valve Stenosis Transcatheter Aortic Valve Replacement
View on PubMed DOI

Aortic Stenosis and Mitral Regurgitation: Takeaways From the Heart Valve Collaboratory Workshop on Multivalvular Disease.

Journal of the American College of Cardiology Jun 27, 2025
The management of multivalvular disease presents increasing challenges in clinical practice caused by complex hemodynamic interactions and limited guideline-based recommendations. As part of the inaugural collaboration between JACC and the Heart Valv...
Humans Aortic Valve Stenosis Mitral Valve Insufficiency Transcatheter Aortic Valve Replacement
View on PubMed DOI

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)...
Humans Aortic Valve Stenosis Predictive Value of Tests Coronary Angiography Coronary Artery Disease Aged Machine Learning Computed Tomography Angiography Aged, 80 and over Retrospective Studies Coronary Stenosis Sensitivity and Specificity Female Fractional Flow Reserve, Myocardial Male Transcatheter Aortic Valve Replacement
View on PubMed DOI

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 ...
Prognosis Female Aged Aged, 80 and over Humans Machine Learning Biomarkers Aortic Valve Stenosis Heart Failure Transcatheter Aortic Valve Replacement Male Stroke Volume Risk Assessment Cohort Studies
View on PubMed DOI

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...
Aortography Deep Learning Reproducibility of Results Humans Aortic Valve Stenosis Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Multidetector Computed Tomography Aged Aortic Valve Female Computed Tomography Angiography Predictive Value of Tests Aged, 80 and over Transcatheter Aortic Valve Replacement Male
View on PubMed DOI

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...
Transcatheter Aortic Valve Replacement Female Aged Aged, 80 and over Male Treatment Outcome Aortic Valve Stenosis Aorta, Thoracic Femoral Artery Humans Artificial Intelligence Retrospective Studies
View on PubMed DOI

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...
Aged, 80 and over Prognosis Male Retrospective Studies Postoperative Complications Aortic Valve Stenosis Female Humans Treatment Outcome Transcatheter Aortic Valve Replacement Aged Machine Learning
View on PubMed DOI

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 Risk Assessment Treatment Outcome Aortic Valve Stenosis Humans Machine Learning
View on PubMed DOI

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...
Survival Rate Humans Global Health Machine Learning Risk Assessment Risk Factors Aortic Valve Stenosis Cause of Death Transcatheter Aortic Valve Replacement
View on PubMed DOI

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...
Treatment Outcome Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Automation Female Atrial Function, Left Risk Factors Stroke Volume Aged Risk Assessment Computed Tomography Angiography Aged, 80 and over Humans Severity of Illness Index Transcatheter Aortic Valve Replacement Male Artificial Intelligence Time Factors Ventricular Function, Left
View on PubMed DOI
Popular Topics
Recent Journals