AIMC Topic: Catheter Ablation

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Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation.

Circulation. Arrhythmia and electrophysiology Jun 14, 2020
BACKGROUND: Pulmonary vein isolation (PVI) is an effective treatment strategy for patients with atrial fibrillation (AF), but many experience AF recurrence and require repeat ablation procedures. The goal of this study was to develop and evaluate a m...
Action Potentials Predictive Value of Tests Atrial Fibrillation Heart Rate Diagnosis, Computer-Assisted Retrospective Studies Treatment Outcome Female Contrast Media Reproducibility of Results Magnetic Resonance Imaging Risk Factors Models, Cardiovascular Aged Patient-Specific Modeling Male Pulmonary Veins Middle Aged Meglumine Risk Assessment Humans Catheter Ablation Machine Learning Proof of Concept Study Organometallic Compounds Recurrence
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A closer look to the new frontier of artificial intelligence in the percutaneous treatment of primary lesions of the liver.

Medical oncology (Northwood, London, England) May 18, 2020
The purpose of thermal ablation is induction of tumor death by means of localized hyperthermia resulting in irreversible cellular damage. Ablative therapies are well-recognized treatment modalities for HCC lesions and are considered standard of care ...
Humans Artificial Intelligence Algorithms Catheter Ablation Animals Hyperthermia, Induced Liver Neoplasms Randomized Controlled Trials as Topic
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Automated extraction of left atrial volumes from two-dimensional computer tomography images using a deep learning technique.

International journal of cardiology Apr 11, 2020
BACKGROUND: Precise segmentation of the left atrium (LA) in computed tomography (CT) images constitutes a crucial preparatory step for catheter ablation in atrial fibrillation (AF). We aim to apply deep convolutional neural networks (DCNNs) to automa...
Humans Computers Catheter Ablation Atrial Appendage Tomography, X-Ray Computed Deep Learning Atrial Fibrillation Heart Atria
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A Catheter-Deployable Soft Robotic Inflatable Basket for Enhanced Conformability to the Left Atrium of the Heart.

Advanced healthcare materials Jan 16, 2020
This paper presents the design, fabrication, and test results for a novel basket catheter that utilizes soft robotic technology, which can conform to complex patient anatomy. Two designs of basket-shaped balloons in three sizes are fabricated based o...
Catheter Ablation Catheters Humans Robotics Atrial Fibrillation Heart Atria
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Atrial scar quantification via multi-scale CNN in the graph-cuts framework.

Medical image analysis Nov 16, 2019
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) appears to be a promising alternative for scar assessment in patients with atrial fibrillation (AF). Automating the quantification and analysis of atrial scars can be challenging due to...
Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging Cicatrix Atrial Fibrillation Heart Atria Catheter Ablation Pulmonary Veins Humans Neural Networks, Computer
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Comparisons of efficacy, safety, and recurrence risk factors of paroxysmal and persistent atrial fibrillation catheter ablation using robotic magnetic navigation system.

Clinical cardiology Mar 15, 2019
BACKGROUND: No data exist on comparisons of efficacy, safety, and recurrence risk factors of paroxysmal and persistent atrial fibrillation (AF) ablation using robotic magnetic navigation system (MNS), respectively.
Recurrence Pulmonary Veins Atrial Fibrillation Heart Atria Heart Rate Catheter Ablation Humans Prospective Studies Middle Aged Adolescent Treatment Outcome Follow-Up Studies Robotics Equipment Design Surgery, Computer-Assisted Heart Conduction System Young Adult Adult Tomography, X-Ray Computed Male Female Echocardiography Risk Factors Aged
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Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling.

Computers in biology and medicine Oct 18, 2018
We review some of the latest approaches to analysing cardiac electrophysiology data using machine learning and predictive modelling. Cardiac arrhythmias, particularly atrial fibrillation, are a major global healthcare challenge. Treatment is often th...
Electrocardiography Heart Conduction System Atrial Fibrillation Catheter Ablation Models, Cardiovascular Electrophysiologic Techniques, Cardiac Humans Machine Learning
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Remote vs. conventional navigation for catheter ablation of atrial fibrillation: insights from prospective registry data.

Clinical research in cardiology : official journal of the German Cardiac Society Aug 29, 2018
BACKGROUND: Robotic (RNS) or magnetic navigation systems (MNS) are available for remotely performed catheter ablation for atrial fibrillation (AF).
Humans Prospective Studies Follow-Up Studies Heart Rate Female Robotics Catheter Ablation Fluoroscopy Male Equipment Design Surgery, Computer-Assisted Middle Aged Registries Heart Conduction System Treatment Outcome Atrial Fibrillation
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Robotic magnetic catheter navigation as a first step in the automation of the ablation procedures for ventricular arrhythmia.

International journal of cardiology May 26, 2018
Magnetics Tachycardia, Ventricular Robotics Robotic Surgical Procedures Arrhythmias, Cardiac Catheter Ablation Humans Treatment Outcome
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Experimental validation of robot-assisted cardiovascular catheterization: model-based versus model-free control.

International journal of computer assisted radiology and surgery Apr 2, 2018
PURPOSE: In cardiac electrophysiology, a long and flexible catheter is delivered to a cardiac chamber for the treatment of arrhythmias. Although several robot-assisted platforms have been commercialized, the disorientation in tele-operation is still ...
Robotics Surgery, Computer-Assisted Arrhythmias, Cardiac Catheter Ablation Adult Humans Cardiac Catheterization Male Female Cardiac Catheters Models, Theoretical Reproducibility of Results Printing, Three-Dimensional Young Adult
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