AI Medical Compendium Journal:
Cardiovascular and interventional radiology

Showing 11 to 20 of 23 articles

Performance Evaluation of a Miniature and Disposable Endovascular Robotic Device.

Cardiovascular and interventional radiology
PURPOSE: The LIBERTY® Robotic System is a miniature, single-use device designed to facilitate remote-controlled navigation to intravascular targets. We aim to evaluate the robot's performance to manipulate a range of microguidewires and microcatheter...

Current State of Robotics in Interventional Radiology.

Cardiovascular and interventional radiology
As a relatively new specialty with a minimally invasive nature, the field of interventional radiology is rapidly growing. Although the application of robotic systems in this field shows great promise, such as with increased precision, accuracy, and s...

Robot-Assisted Needle Insertion for CT-Guided Puncture: Experimental Study with a Phantom and Animals.

Cardiovascular and interventional radiology
PURPOSE: This study aimed to evaluate the accuracy and safety of robotic CT-guided needle insertion in phantom and animal experiments.

Prime Time for Artificial Intelligence in Interventional Radiology.

Cardiovascular and interventional radiology
Machine learning techniques, also known as artificial intelligence (AI), is about to dramatically change workflow and diagnostic capabilities in diagnostic radiology. The interest in AI in Interventional Radiology is rapidly gathering pace. With this...

Robot-Assisted Carotid Artery Stenting: A Safety and Feasibility Study.

Cardiovascular and interventional radiology
PURPOSE: Endovascular robotics is an emerging technology within the developing field of medical robotics. This was a prospective evaluation to assess safety and feasibility of robotic-assisted carotid artery stenting.

CT Texture Analysis and Machine Learning Improve Post-ablation Prognostication in Patients with Adrenal Metastases: A Proof of Concept.

Cardiovascular and interventional radiology
INTRODUCTION: To assess the performance of pre-ablation computed tomography texture features of adrenal metastases to predict post-treatment local progression and survival in patients who underwent ablation using machine learning as a prediction tool...

Robotically Assisted CBCT-Guided Needle Insertions: Preliminary Results in a Phantom Model.

Cardiovascular and interventional radiology
AIM: To compare robotic-assisted needle insertions performed under CBCT guidance to standard manual needle insertions.

Performance of a Robotic Assistance Device in Computed Tomography-Guided Percutaneous Diagnostic and Therapeutic Procedures.

Cardiovascular and interventional radiology
PURPOSE: To evaluate a commercially available robotic assistance device for computed tomography-guided diagnostic and therapeutic interventions, compared to regular, manually performed CT scan-guided interventions in terms of precision, exposure to r...