AIMC Topic: Endovascular Procedures
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Robotic telepresence versus standardly supervised stroke alert team assessments.
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Dec 9, 2014
BACKGROUND: Telemedicine has created access to emergency stroke care for patients in all communities, regardless of geography. We hypothesized that there is no difference in speed of assessment between vascular neurologist (VN) robotic telepresence a...
Aged, 80 and over
Adult
Male
Middle Aged
Risk Assessment
Emergencies
Severity of Illness Index
Humans
Female
Aged
Telemedicine
Robotics
Survival Analysis
Chi-Square Distribution
Linear Models
Time Factors
Thrombolytic Therapy
Treatment Outcome
Stroke
Time-to-Treatment
Follow-Up Studies
Arizona
Endovascular Procedures
Emergency Treatment
Current state in tracking and robotic navigation systems for application in endovascular aortic aneurysm repair.
Journal of vascular surgery
Oct 14, 2014
OBJECTIVE: This study reviewed the current developments in manual tracking and robotic navigation technologies for application in endovascular aortic aneurysm repair (EVAR).
Novel artificial intelligence approach in neurointerventional practice: Preliminary findings on filter movement and ischemic lesions in carotid artery stenting.
Clinical neurology and neurosurgery
Jul 1, 2025
BACKGROUND AND OBJECTIVES: Embolic protection devices (EPDs) used during carotid artery stenting (CAS) are crucial in reducing ischemic complications. Although minimizing the filter-type EPD movement is considered important, limited research has demo...
Multitask Deep Learning for Automated Detection of Endoleak at Digital Subtraction Angiography during Endovascular Aneurysm Repair.
Radiology. Artificial intelligence
Jul 1, 2025
Purpose To develop and evaluate a novel multitask deep learning framework for automated detection and localization of endoleaks at aortic digital subtraction angiography (DSA) performed during real-world endovascular aneurysm repair (EVAR) procedures...
First-in-human, real-time artificial intelligence assisted cerebral aneurysm coiling: a preliminary experience.
Journal of neurointerventional surgery
Jun 16, 2025
BACKGROUND: Neuroendovascular procedures require careful and simultaneous attention to multiple devices on multiple screens. Overlooking unintended device movements can result in complications. Advancements in artificial intelligence (AI) have enable...
Fast Virtual Stenting for Thoracic Endovascular Aortic Repair of Aortic Dissection Using Graph Deep Learning.
IEEE journal of biomedical and health informatics
Jun 1, 2025
Fast virtual stenting (FVS) is a promising preoperative planning aid for thoracic endovascular aortic repair (TEVAR) of aortic dissection. It aims at digitally predicting the reshaped aortic true lumen (TL) under specific operation plans (stent-graft...
Machine learning for clinical outcome prediction in cerebrovascular and endovascular neurosurgery: systematic review and meta-analysis.
Journal of neurointerventional surgery
May 22, 2025
BACKGROUND: Machine learning (ML) may be superior to traditional methods for clinical outcome prediction. We sought to systematically review the literature on ML for clinical outcome prediction in cerebrovascular and endovascular neurosurgery.
Automatic CTA analysis for blood vessels and aneurysm features extraction in EVAR planning.
Scientific reports
May 12, 2025
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...
[Real-Time Artificial Intelligence Assistance in Neuroendovascular Surgery].
No shinkei geka. Neurological surgery
Mar 1, 2025
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...
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
Jan 1, 2025
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...
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