AIMC Topic: Aortic Valve Stenosis

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Prevalence of low-flow state by automated machine-learning 3D echocardiography in patients with moderate-to-severe aortic stenosis and normal ejection-fraction.

The international journal of cardiovascular imaging Apr 10, 2025
BACKGROUND: In aortic valve stenosis (AS), measurement of stroke volume index (SVi) by the 2D Doppler- technique is required to calculate the aortic valve area (AVA) and determine flow status but is prone to systematic errors.
Blood Flow Velocity Echocardiography, Three-Dimensional Prevalence Severity of Illness Index Hemodynamics Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Image Interpretation, Computer-Assisted Automation Echocardiography, Doppler Humans Machine Learning Female Reproducibility of Results Aged Aged, 80 and over Male Ventricular Function, Left Stroke Volume
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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...
Aged Multidetector Computed Tomography Humans Computed Tomography Angiography Aortic Valve Stenosis Aged, 80 and over Transcatheter Aortic Valve Replacement Retrospective Studies Aortic Valve Male Aortography Female Predictive Value of Tests Deep Learning Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted
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Deep Learning-Based Contrast Boosting in Low-Contrast Media Pre-TAVR CT Imaging.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Mar 12, 2025
This study investigates the impact of deep learning-based contrast boosting (DL-CB) on image quality and measurement reliability in low-contrast media (low-CM) CT for pre-transcatheter aortic valve replacement (TAVR) assessment. This retrospective ...
Aortic Valve Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Female Male Signal-To-Noise Ratio Humans Reproducibility of Results Deep Learning Transcatheter Aortic Valve Replacement Retrospective Studies Contrast Media Iopamidol Aged Aortic Valve Stenosis Aged, 80 and over
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Deep learning based automatic quantification of aortic valve calcification on contrast enhanced coronary CT angiography.

Scientific reports Mar 12, 2025
Quantifying aortic valve calcification is critical for assessing the severity of aortic stenosis, predicting cardiovascular risk, and guiding treatment decisions. This study evaluated the feasibility of a deep learning-based automatic quantification ...
Coronary Angiography Computed Tomography Angiography Contrast Media Calcinosis Aortic Valve Stenosis Aortic Valve Humans Retrospective Studies Female Aged Aged, 80 and over Male Middle Aged Deep Learning
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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...
Humans Artificial Intelligence Retrospective Studies Treatment Outcome Aortic Valve Stenosis Aorta, Thoracic Femoral Artery Transcatheter Aortic Valve Replacement Female Aged Aged, 80 and over Male
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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...
Treatment Outcome Aortic Valve Stenosis Transcatheter Aortic Valve Replacement Humans Machine Learning Prognosis Retrospective Studies Female Aged Aged, 80 and over Male Postoperative Complications
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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...
Severity of Illness Index Deep Learning ROC Curve Aortic Valve Stenosis Humans Aged Artificial Intelligence Algorithms Aged, 80 and over Prognosis Male Female 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...
Risk Assessment Aortic Valve Stenosis Cause of Death Humans Transcatheter Aortic Valve Replacement Machine Learning Risk Factors Survival Rate Global Health
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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...
Aged Aged, 80 and over Male Ventricular Function, Left Radiographic Image Interpretation, Computer-Assisted Aortic Valve Stenosis Stroke Volume Humans Automation Risk Assessment Artificial Intelligence Aortic Valve Atrial Function, Left Severity of Illness Index Retrospective Studies Predictive Value of Tests Time Factors Computed Tomography Angiography Female Coronary Angiography Treatment Outcome Transcatheter Aortic Valve Replacement Risk Factors
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