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Endovascular Procedures

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Automatic CTA analysis for blood vessels and aneurysm features extraction in EVAR planning.

Scientific reports
Endovascular Aneurysm Repair (EVAR) is a minimally invasive procedure crucial for treating abdominal aortic aneurysms (AAA), where precise pre-operative planning is essential. Current clinical methods rely on manual measurements, which are time-consu...

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...

Components of Robotic Systems in Image-Guided Percutaneous Interventions.

Techniques in vascular and interventional radiology
The field of interventional radiology is facing a growing demand for percutaneous procedures targeting smaller and more complex lesions. Percutaneous medical robots have proven to increase efficiency and accuracy and can address these issues. This re...

Remote-Controlled and Teleoperated Systems: Taking Robotic Image Guided Interventions to the Next Stage.

Techniques in vascular and interventional radiology
Remote-controlled and teleoperated robotic systems mark transformative advancements in interventional radiology (IR), with the potential to enhance precision, reduce radiation exposure, and expand access to care. By integrating robotic devices with i...

Role of Robotics in Image-Guided Trans-Arterial Interventions.

Techniques in vascular and interventional radiology
The integration of robotic systems in image-guided trans-arterial interventions has revolutionized the field of Interventional Radiology (IR), offering enhanced precision, safety, and efficiency. These advancements are particularly impactful for acut...

Predictive models of clinical outcome of endovascular treatment for anterior circulation stroke using machine learning.

Journal of neuroscience methods
BACKGROUND AND PURPOSE: Mechanical Thrombectomy (MT) has recently become the standard of care for anterior circulation stroke with large vessel occlusion, but predictive factors of successful MT are still not clearly defined. To tailor treatment indi...

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...

Machine learning validation of a simple prediction model for the correlation between advanced age and clinical outcomes in patients with aneurysmal subarachnoid hemorrhage.

Neurosurgical review
Adverse effects of advanced age and poor initial neurological status on outcomes of patients with aneurysmal subarachnoid hemorrhage (SAH) have been documented. While a predictive model of the non-linear correlation between advanced age and clinical ...

[Real-Time Artificial Intelligence Assistance in Neuroendovascular Surgery].

No shinkei geka. Neurological surgery
In neuroendovascular surgery, operators must manipulate devices, such as microcatheters and guidewires, with millimeter precision while simultaneously monitoring multiple areas across up to four radiography monitors. Although both operators and assis...

Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair.

Journal of the American Heart Association
BACKGROUND: Thoracic endovascular aortic repair (TEVAR) and complex endovascular aneurysm repair (EVAR) are complex procedures that carry a significant risk of complications. While risk prediction tools can aid in clinical decision making, they remai...