AI Medical Compendium Journal:
Journal of neurointerventional surgery

Showing 21 to 30 of 31 articles

Fully automated intracranial aneurysm detection and segmentation from digital subtraction angiography series using an end-to-end spatiotemporal deep neural network.

Journal of neurointerventional surgery May 29, 2020
BACKGROUND: Intracranial aneurysms (IAs) are common in the population and may cause death.
Female Aged Adult Male Humans Neural Networks, Computer Retrospective Studies Contrast Media Angiography, Digital Subtraction Cerebral Angiography Intracranial Aneurysm Middle Aged Deep Learning Time Factors
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Automatic segmentation of cerebral infarcts in follow-up computed tomography images with convolutional neural networks.

Journal of neurointerventional surgery Dec 23, 2019
BACKGROUND AND PURPOSE: Infarct volume is a valuable outcome measure in treatment trials of acute ischemic stroke and is strongly associated with functional outcome. Its manual volumetric assessment is, however, too demanding to be implemented in cli...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Follow-Up Studies Stroke Cerebral Infarction Tomography, X-Ray Computed Female Male Brain Ischemia
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Feasibility study for use of angiographic parametric imaging and deep neural networks for intracranial aneurysm occlusion prediction.

Journal of neurointerventional surgery Dec 10, 2019
BACKGROUND: Angiographic parametric imaging (API), based on digital subtraction angiography (DSA), is a quantitative imaging tool that may be used to extract contrast flow parameters related to hemodynamic conditions in abnormal pathologies such as i...
Middle Aged Deep Learning Treatment Outcome Female Humans Predictive Value of Tests Angiography, Digital Subtraction Adult Neural Networks, Computer Feasibility Studies Intracranial Aneurysm Male
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Platelet-rich emboli are associated with von Willebrand factor levels and have poorer revascularization outcomes.

Journal of neurointerventional surgery Nov 4, 2019
BACKGROUND AND AIMS: Platelets and von Willebrand factor (vWF) are key factors in thrombosis and thus are likely key components of acute ischemic stroke (AIS) emboli. We aimed to characterize platelet and vWF levels in AIS emboli and to assess associ...
Thromboembolism Cerebral Revascularization Brain Ischemia Blood Platelets von Willebrand Factor Humans Machine Learning Treatment Outcome Stroke Female Male
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Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review.

Journal of neurointerventional surgery Oct 8, 2019
BACKGROUND AND PURPOSE: Acute stroke caused by large vessel occlusions (LVOs) requires emergent detection and treatment by endovascular thrombectomy. However, radiologic LVO detection and treatment is subject to variable delays and human expertise, r...
Arterial Occlusive Diseases Stroke Brain Ischemia Thrombectomy Artificial Intelligence Triage Emergency Service, Hospital Humans
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Automatic radiomic feature extraction using deep learning for angiographic parametric imaging of intracranial aneurysms.

Journal of neurointerventional surgery Aug 23, 2019
BACKGROUND: Angiographic parametric imaging (API) is an imaging method that uses digital subtraction angiography (DSA) to characterize contrast media dynamics throughout the vasculature. This requires manual placement of a region of interest over a l...
Neural Networks, Computer Retrospective Studies Humans Deep Learning Adolescent Cohort Studies Intracranial Aneurysm Contrast Media Angiography, Digital Subtraction Young Adult Adult Male Middle Aged Female Aged Aged, 80 and over
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Using machine learning to optimize selection of elderly patients for endovascular thrombectomy.

Journal of neurointerventional surgery Feb 2, 2019
BACKGROUND: Endovascular thrombectomy (ET) is the standard of care for treatment of acute ischemic stroke (AIS) secondary to large vessel occlusion. The elderly population has been under-represented in clinical trials on ET, and recent studies have r...
Stroke Patient Selection Endovascular Procedures Thrombectomy Male Cohort Studies Treatment Outcome Retrospective Studies Female Aged, 80 and over Humans Machine Learning Prospective Studies
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Machine learning improves prediction of delayed cerebral ischemia in patients with subarachnoid hemorrhage.

Journal of neurointerventional surgery Nov 10, 2018
BACKGROUND AND PURPOSE: Delayed cerebral ischemia (DCI) is a severe complication in patients with aneurysmal subarachnoid hemorrhage. Several associated predictors have been previously identified. However, their predictive value is generally low. We ...
Prognosis Brain Ischemia Humans Cohort Studies Tomography, X-Ray Computed Machine Learning Predictive Value of Tests Sensitivity and Specificity Prospective Studies Subarachnoid Hemorrhage
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Deep learning guided stroke management: a review of clinical applications.

Journal of neurointerventional surgery Sep 27, 2017
Stroke is a leading cause of long-term disability, and outcome is directly related to timely intervention. Not all patients benefit from rapid intervention, however. Thus a significant amount of attention has been paid to using neuroimaging to assess...
Humans Disease Management Neural Networks, Computer Neuroimaging Machine Learning Stroke
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Combining C-arm CT with a new remote operated positioning and guidance system for guidance of minimally invasive spine interventions.

Journal of neurointerventional surgery Mar 5, 2014
OBJECTIVE: To report our experience using C-arm cone beam CT (C-arm CBCT) combined with the new remote operated positioning and guidance system, iSYS1, for needle guidance during spinal interventions.
Spinal Fractures Robotics Humans Minimally Invasive Surgical Procedures Cone-Beam Computed Tomography Surgery, Computer-Assisted Imaging, Three-Dimensional
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