AIMC Topic: Endovascular Procedures

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Machine learning models for outcome prediction in thrombectomy for large anterior vessel occlusion.

Annals of clinical and translational neurology Aug 23, 2024
OBJECTIVE: Predicting long-term functional outcomes shortly after a stroke is challenging, even for experienced neurologists. Therefore, we aimed to evaluate multiple machine learning models and the importance of clinical/radiological parameters to d...
Humans Machine Learning Male Middle Aged Ischemic Stroke Registries Prognosis Female Aged Aged, 80 and over Stroke Outcome Assessment, Health Care Endovascular Procedures Thrombectomy
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Advancing aneurysm management: the potential of AI and machine learning in enhancing safety and predictive accuracy.

Neurosurgical review Aug 14, 2024
Cerebral aneurysm rupture, the predominant cause of non-traumatic subarachnoid hemorrhage, underscores the need for effective treatment and early detection methods. A study in Neurosurgical Review compared microsurgical clipping to endovascular thera...
Meta-Analysis as Topic Humans Intracranial Aneurysm Neurosurgical Procedures Artificial Intelligence Endovascular Procedures Machine Learning Aneurysm, Ruptured Systematic Reviews as Topic
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A Deep Learning Approach to Predict Recanalization First-Pass Effect following Mechanical Thrombectomy in Patients with Acute Ischemic Stroke.

AJNR. American journal of neuroradiology Aug 9, 2024
BACKGROUND AND PURPOSE: Following endovascular thrombectomy in patients with large-vessel occlusion stroke, successful recanalization from 1 attempt, known as the first-pass effect, has correlated favorably with long-term outcomes. Pretreatment imagi...
Humans Tomography, X-Ray Computed Female Aged Male Middle Aged Deep Learning Magnetic Resonance Imaging Treatment Outcome Ischemic Stroke Endovascular Procedures Thrombectomy
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Commentary: Detection of Endoleak After Endovascular Aortic Repair Through Deep Learning Based on Non-contrast CT.

Cardiovascular and interventional radiology Aug 7, 2024
Blood Vessel Prosthesis Implantation Endovascular Procedures Endoleak Endovascular Aneurysm Repair Humans Tomography, X-Ray Computed Deep Learning
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Machine learning enhances assessment of proficiency in endovascular aortic repair simulations.

Current problems in surgery Aug 2, 2024
Simulation Training Endovascular Aneurysm Repair Humans Machine Learning Clinical Competence Endovascular Procedures
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Off-Label use of Woven EndoBridge device for intracranial brain aneurysm treatment: Modeling of occlusion outcome.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 26, 2024
INTRODUCTION: The Woven EndoBridge (WEB) device is emerging as a novel therapy for intracranial aneurysms, but its use for off-label indications requires further study. Using machine learning, we aimed to develop predictive models for complete occlus...
Intracranial Aneurysm Off-Label Use Female Risk Factors Aged Adult Machine Learning Prosthesis Design Decision Support Techniques Humans Blood Vessel Prosthesis Implantation Retrospective Studies Endovascular Procedures Clinical Decision-Making Blood Vessel Prosthesis Male Middle Aged Risk Assessment Treatment Outcome
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Non-contrast CT radiomics-clinical machine learning model for futile recanalization after endovascular treatment in anterior circulation acute ischemic stroke.

BMC medical imaging Jul 19, 2024
OBJECTIVE: To establish a machine learning model based on radiomics and clinical features derived from non-contrast CT to predict futile recanalization (FR) in patients with anterior circulation acute ischemic stroke (AIS) undergoing endovascular tre...
Aged Radiomics Male Middle Aged Prognosis Nomograms Humans Retrospective Studies Ischemic Stroke Tomography, X-Ray Computed Machine Learning Endovascular Procedures Female Medical Futility
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Low energy virtual monochromatic CT with deep learning image reconstruction to improve delineation of endoleaks.

Clinical radiology Jul 9, 2024
AIM: This study aimed to investigate the utility of low-energy virtual monochromatic imaging (VMI) combined with deep-learning image reconstruction (DLIR) in improving the delineation of endoleaks (ELs) after endovascular aortic repair (EVAR) in cont...
Deep Learning Contrast Media Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted Endovascular Procedures Female Humans Endoleak Aged Radiography, Dual-Energy Scanned Projection Retrospective Studies Aged, 80 and over Tomography, X-Ray Computed Male
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Detection of Endoleak after Endovascular Aortic Repair through Deep Learning Based on Non-contrast CT.

Cardiovascular and interventional radiology Jul 8, 2024
OBJECTIVES: To develop and validate a deep learning model for detecting post-endovascular aortic repair (EVAR) endoleak from non-contrast CT.
Aortic Aneurysm, Abdominal Aged, 80 and over Endoleak Blood Vessel Prosthesis Implantation Male Humans Endovascular Procedures Deep Learning Endovascular Aneurysm Repair Computed Tomography Angiography Retrospective Studies Predictive Value of Tests Female Aged
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Machine Learning Based Prediction of Post-operative Infrarenal Endograft Apposition for Abdominal Aortic Aneurysms.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Jul 6, 2024
OBJECTIVE: Challenging infrarenal aortic neck characteristics have been associated with an increased risk of type Ia endoleak after endovascular aneurysm repair (EVAR). Short apposition (< 10 mm circumferential shortest apposition length [SAL]) on th...
Aortic Aneurysm, Abdominal Aorta, Abdominal Blood Vessel Prosthesis Implantation Aged, 80 and over Humans Endovascular Procedures Male Machine Learning Computed Tomography Angiography Treatment Outcome Retrospective Studies Predictive Value of Tests Blood Vessel Prosthesis Female Aortography Risk Factors Endoleak Aged
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