AIMC Topic: Stroke

Clear Filters Showing 351 to 360 of 1136 articles

Perfusion from Diffusion: Yet Another Take on Mismatch.

Radiology Dec 6, 2022
Deep Learning Stroke Diffusion Magnetic Resonance Imaging Perfusion Humans
View on PubMed DOI

Predicting Hypoperfusion Lesion and Target Mismatch in Stroke from Diffusion-weighted MRI Using Deep Learning.

Radiology Dec 6, 2022
Background Perfusion imaging is important to identify a target mismatch in stroke but requires contrast agents and postprocessing software. Purpose To use a deep learning model to predict the hypoperfusion lesion in stroke and identify patients with ...
Male Deep Learning Magnetic Resonance Imaging Retrospective Studies Aged Brain Ischemia Humans Ischemia Ischemic Stroke Diffusion Magnetic Resonance Imaging Stroke
View on PubMed DOI

Optimization for a New XY Positioning Mechanism by Artificial Neural Network-Based Metaheuristic Algorithms.

Computational intelligence and neuroscience Dec 1, 2022
This paper devotes a new method in modeling and optimizing to handle the optimization of the XY positioning mechanism. The fitness functions and constraints of the mechanism are formulated via proposing a combination of artificial neural network (ANN...
Algorithms Humans Neural Networks, Computer Stroke
View on PubMed DOI

Deep learning prediction of stroke thrombus red blood cell content from multiparametric MRI.

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences Nov 28, 2022
BACKGROUND AND PURPOSE: Thrombus red blood cell (RBC) content has been shown to be a significant factor influencing the efficacy of acute ischemic stroke treatment. In this study, our objective was to evaluate the ability of convolutional neural netw...
Aged Erythrocytes Male Intracranial Thrombosis Stroke Deep Learning Middle Aged Multiparametric Magnetic Resonance Imaging Neural Networks, Computer Humans Ischemic Stroke Thrombosis Female
View on PubMed DOI

An Ensemble of Deep Learning Enabled Brain Stroke Classification Model in Magnetic Resonance Images.

Journal of healthcare engineering Nov 18, 2022
Brain stroke is a major cause of global death and it necessitates earlier identification process to reduce the mortality rate. Magnetic resonance imaging (MRI) techniques is a commonly available imaging modality used to diagnose brain stroke. Present...
Humans Stroke Neural Networks, Computer Deep Learning Brain Magnetic Resonance Imaging
View on PubMed DOI

Neurotechnology's Prospects for Bringing About Meaningful Reductions in Neurological Impairment.

Neurorehabilitation and neural repair Nov 16, 2022
Here we report and comment on the magnitudes of post-stroke impairment reduction currently observed using new neurotechnologies. We argue that neurotechnology's best use case is impairment reduction as this is neither the primary strength nor main go...
Stroke Rehabilitation Humans Recovery of Function Stroke Exercise Therapy Robotics
View on PubMed DOI

Deep Learning in Ischemic Stroke Imaging Analysis: A Comprehensive Review.

BioMed research international Nov 14, 2022
Ischemic stroke is a cerebrovascular disease with a high morbidity and mortality rate, which poses a serious challenge to human health and life. Meanwhile, the management of ischemic stroke remains highly dependent on manual visual analysis of noncon...
Tomography, X-Ray Computed Deep Learning Ischemic Stroke Humans Stroke Artifacts
View on PubMed DOI

Machine learning based outcome prediction of large vessel occlusion of the anterior circulation prior to thrombectomy in patients with wake-up stroke.

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences Nov 7, 2022
PURPOSE: Outcome prediction of large vessel occlusion of the anterior circulation in patients with wake-up stroke is important to identify patients that will benefit from thrombectomy. Currently, mismatch concepts that require MRI or CT-Perfusion (CT...
Machine Learning Retrospective Studies Female Humans Male Middle Aged Treatment Outcome Aged Aged, 80 and over Stroke Thrombectomy Magnetic Resonance Imaging Registries
View on PubMed DOI

Automatic identification of early ischemic lesions on non-contrast CT with deep learning approach.

Scientific reports Oct 27, 2022
Early ischemic lesion on non-contrast computed tomogram (NCCT) in acute stroke can be subtle and need confirmation with magnetic resonance (MR) image for treatment decision-making. We retrospectively included the NCCT slices of 129 normal subjects an...
Humans Stroke Retrospective Studies Ischemia Deep Learning Ischemic Stroke Tomography, X-Ray Computed
View on PubMed DOI

Deep learning-based behavioral profiling of rodent stroke recovery.

BMC biology Oct 15, 2022
BACKGROUND: Stroke research heavily relies on rodent behavior when assessing underlying disease mechanisms and treatment efficacy. Although functional motor recovery is considered the primary targeted outcome, tests in rodents are still poorly reprod...
Animals Deep Learning Disease Models, Animal Stroke Mice Humans Brain Ischemia Rodentia
View on PubMed DOI
Popular Topics
Recent Journals