AIMC Topic: Catheter Ablation

Clear Filters Showing 31 to 40 of 62 articles

Toward Task Autonomy in Robotic Cardiac Ablation: Learning-Based Kinematic Control of Soft Tendon-Driven Catheters.

Soft robotics
The goal of this study was to propose and validate a control framework with level-2 autonomy (task autonomy) for the control of flexible ablation catheters. To this end, a kinematic model for the flexible portion of typical ablation catheters was dev...

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)
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 ...

Automated extraction of left atrial volumes from two-dimensional computer tomography images using a deep learning technique.

International journal of cardiology
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...

A Catheter-Deployable Soft Robotic Inflatable Basket for Enhanced Conformability to the Left Atrium of the Heart.

Advanced healthcare materials
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...

Atrial scar quantification via multi-scale CNN in the graph-cuts framework.

Medical image analysis
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...

Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling.

Computers in biology and medicine
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...

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
BACKGROUND: Robotic (RNS) or magnetic navigation systems (MNS) are available for remotely performed catheter ablation for atrial fibrillation (AF).