AIMC Topic: Intracranial Aneurysm
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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
Blood Vessel Prosthesis Implantation
Endovascular Procedures
Blood Vessel Prosthesis
Humans
Aged
Adult
Male
Clinical Decision-Making
Treatment Outcome
Middle Aged
Machine Learning
Prosthesis Design
Female
Risk Assessment
Decision Support Techniques
Risk Factors
Retrospective Studies
Deep learning for intracranial aneurysm segmentation using CT angiography.
Physics in medicine and biology
Jul 26, 2024
This study aimed to employ a two-stage deep learning method to accurately detect small aneurysms (4-10 mm in size) in computed tomography angiography images.This study included 956 patients from 6 hospitals and a public dataset obtained with 6 CT sca...
Automated Method for Intracranial Aneurysm Classification Using Deep Learning.
Sensors (Basel, Switzerland)
Jul 14, 2024
Intracranial aneurysm (IA) is now a common term closely associated with subarachnoid hemorrhage. IA is the bulging of a blood vessel caused by a weakening of its wall. This bulge can rupture and, in most cases, cause internal bleeding. In most cases,...
Assessing accuracy and consistency in intracranial aneurysm sizing: human expertise vs. artificial intelligence.
Scientific reports
Jul 12, 2024
Intracranial aneurysms (IAs) are a common vascular pathology and are associated with a risk of rupture, which is often fatal. Aneurysm growth of more than 1 mm is considered a surrogate of rupture risk, therefore, this study presents a comprehensive ...
A comprehensive investigation of morphological features responsible for cerebral aneurysm rupture using machine learning.
Scientific reports
Jul 9, 2024
Cerebral aneurysms are a silent yet prevalent condition that affects a significant global population. Their development can be attributed to various factors, presentations, and treatment approaches. The importance of selecting the appropriate treatme...
Classification, detection, and segmentation performance of image-based AI in intracranial aneurysm: a systematic review.
BMC medical imaging
Jul 2, 2024
BACKGROUND: The detection and management of intracranial aneurysms (IAs) are vital to prevent life-threatening complications like subarachnoid hemorrhage (SAH). Artificial Intelligence (AI) can analyze medical images, like CTA or MRA, spotting nuance...
Integrated analysis of single-cell sequencing and machine learning identifies a signature based on monocyte/macrophage hub genes to analyze the intracranial aneurysm associated immune microenvironment.
Frontiers in immunology
Jun 24, 2024
Monocytes are pivotal immune cells in eliciting specific immune responses and can exert a significant impact on the progression, prognosis, and immunotherapy of intracranial aneurysms (IAs). The objective of this study was to identify monocyte/macrop...
Improving intracranial aneurysms image quality and diagnostic confidence with deep learning reconstruction in craniocervical CT angiography.
Acta radiologica (Stockholm, Sweden : 1987)
Jun 5, 2024
BACKGROUND: The diagnostic impact of deep learning computed tomography (CT) reconstruction on intracranial aneurysm (IA) remains unclear.
Assessing the Impact of an Artificial Intelligence-Based Model for Intracranial Aneurysm Detection in CT Angiography on Patient Diagnosis and Outcomes (IDEAL Study)-a protocol for a multicenter, double-blinded randomized controlled trial.
Trials
Jun 4, 2024
BACKGROUND: This multicenter, double-blinded, randomized controlled trial (RCT) aims to assess the impact of an artificial intelligence (AI)-based model on the efficacy of intracranial aneurysm detection in CT angiography (CTA) and its influence on p...
Patient-specific cerebral 3D vessel model reconstruction using deep learning.
Medical & biological engineering & computing
May 28, 2024
Three-dimensional vessel model reconstruction from patient-specific magnetic resonance angiography (MRA) images often requires some manual maneuvers. This study aimed to establish the deep learning (DL)-based method for vessel model reconstruction. T...
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