AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Endovascular Procedures

Showing 61 to 70 of 122 articles

Clear Filters

Deep-Learning Generated Synthetic Material Decomposition Images Based on Single-Energy CT to Differentiate Intracranial Hemorrhage and Contrast Staining Within 24 Hours After Endovascular Thrombectomy.

CNS neuroscience & therapeutics
AIMS: To develop a transformer-based generative adversarial network (trans-GAN) that can generate synthetic material decomposition images from single-energy CT (SECT) for real-time detection of intracranial hemorrhage (ICH) after endovascular thrombe...

A preliminary study of super-resolution deep learning reconstruction with cardiac option for evaluation of endovascular-treated intracranial aneurysms.

The British journal of radiology
OBJECTIVES: To investigate the usefulness of super-resolution deep learning reconstruction (SR-DLR) with cardiac option in the assessment of image quality in patients with stent-assisted coil embolization, coil embolization, and flow-diverting stent ...

Enhanced Guidance for Endovascular Robotics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Increasing interest surrounds the use of robotic and computer technologies for precise endovascular interventions. However, a limitation in current robotic procedures is the reliance on 2D fluoroscopy for surgical navigation and lack of haptic guidan...

Machine Intelligence in Cerebrovascular and Endovascular Neurosurgery.

Advances in experimental medicine and biology
The advent of different realms of computational neurosurgery-including not only machine intelligence but also visualization techniques such as mixed reality and robotic applications-is beginning to impact both open vascular as well as endovascular ne...

Deep Learning-Based Intraoperative Stent Graft Segmentation on Completion Digital Subtraction Angiography During Endovascular Aneurysm Repair.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists
PURPOSE: Modern endovascular hybrid operating rooms generate large amounts of medical images during a procedure, which are currently mostly assessed by eye. In this paper, we present fully automatic segmentation of the stent graft on the completion d...

Guidewire Endpoint Detection Based on Pixel Adjacent Relation in Robot-assisted Cardiovascular Interventions.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Visualization of endovascular tools like guidewire and catheter is essential for procedural success of endovascular interventions. This requires tracking the tool pixels and motion during catheterization; however, detecting the endpoints of the endov...

Objective performance metrics in human robotic neuroendovascular interventions: a scoping review protocol.

JBI evidence synthesis
OBJECTIVE: The objective of this scoping review is to review the available information on objective performance metrics used during robotic neuroendovascular intervention procedures on humans.

A survey of catheter tracking concepts and methodologies.

Medical image analysis
Catheter tracking has become an integral part of interventional radiology. Over the last decades, researchers have significantly contributed to theoretical and technical catheter tracking solutions. However, most of the published work thus far focuse...

One-step Endovascular Aortic Aneurysm Repair With CO2 contrast and Robotic Partial Nephrectomy for Renal Cell Carcinoma: Case Report.

Vascular and endovascular surgery
INTRODUCTION: Although rare, as the population ages, abdominal aortic aneurysm synchronous to abdominal malignancies, as renal cell carcinoma, is expected to become more prevalent. There are only two case reports of minimally invasive surgeries to tr...

Fully automatic volume segmentation using deep learning approaches to assess aneurysmal sac evolution after infrarenal endovascular aortic repair.

Journal of vascular surgery
OBJECTIVE: Endovascular aortic repair (EVAR) surveillance relies on serial measurements of the maximal diameter despite significant inter- and intraobserver variability. Volumetric measurements are more sensitive; however, their general use has been ...