AIMC Topic: Stroke

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AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning.

Medical image analysis Aug 6, 2021
Perfusion imaging is crucial in acute ischemic stroke for quantifying the salvageable penumbra and irreversibly damaged core lesions. As such, it helps clinicians to decide on the optimal reperfusion treatment. In perfusion CT imaging, deconvolution ...
Humans Brain Ischemia Cerebrovascular Circulation Perfusion Imaging Reproducibility of Results Magnetic Resonance Imaging Deep Learning Stroke Perfusion
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Deep Learning-Based Measurement of Total Plaque Area in B-Mode Ultrasound Images.

IEEE journal of biomedical and health informatics Aug 5, 2021
Measurement of total-plaque-area (TPA) is important for determining long term risk for stroke and monitoring carotid plaque progression. Since delineation of carotid plaques is required, a deep learning method can provide automatic plaque segmentatio...
Algorithms Female Male Humans Myocardial Infarction Carotid Arteries Plaque, Atherosclerotic Deep Learning Ultrasonography Stroke
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Can deep learning classify stroke subtypes from chest X-rays?

EBioMedicine Aug 4, 2021
Humans Stroke Deep Learning X-Rays Radiography
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Effects of periodic robot rehabilitation using the Hybrid Assistive Limb for a year on gait function in chronic stroke patients.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Jul 31, 2021
Using a robot for gait training in stroke patients has attracted attention for the last several decades. Previous studies reported positive effects of robot rehabilitation on gait function in the short term. However, the long-term effects of robot re...
Exercise Therapy Stroke Rehabilitation Robotics Stroke Gait Humans
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The Effect of Applying Robot-Assisted Task-Oriented Training Using Human-Robot Collaborative Interaction Force Control Technology on Upper Limb Function in Stroke Patients: Preliminary Findings.

BioMed research international Jul 28, 2021
Stroke is one of the leading causes of death and the primary cause of acquired disability worldwide. Many stroke survivors have difficulty using their upper limbs, which have important functional roles in the performance of daily life activities. Con...
Aged Male Middle Aged Robotics Stroke Task Performance and Analysis Humans Female Upper Extremity Stroke Rehabilitation
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Predicting Recurrence for Patients With Ischemic Cerebrovascular Events Based on Process Discovery and Transfer Learning.

IEEE journal of biomedical and health informatics Jul 27, 2021
The recurrence of Ischemic cerebrovascular events (ICE) often results in a high rate of mortality and disability. However, due to the lack of labeled follow-up data in hospitals, prediction methods using traditional machine learning are usually not a...
Algorithms Stroke Humans Machine Learning
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Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 26, 2021
OBJECTIVES: Classifying the possibility of home discharge is important during stroke rehabilitation to support decision-making. There have been several studies on supervised machine learning algorithms, but only a few have compared the performance of...
Stroke Rehabilitation Support Vector Machine Decision Trees Discriminant Analysis Patient Discharge Stroke Supervised Machine Learning Aged, 80 and over Male Middle Aged Female Aged Humans Decision Support Techniques Databases, Factual Prognosis
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Diagnosis and Treatment Effect of Convolutional Neural Network-Based Magnetic Resonance Image Features on Severe Stroke and Mental State.

Contrast media & molecular imaging Jul 26, 2021
The purpose of this paper is to explore the impact of magnetic resonance imaging (MRI) image features based on convolutional neural network (CNN) algorithm and conditional random field on the diagnosis and mental state of patients with severe stroke....
Magnetic Resonance Imaging Stroke Cerebral Small Vessel Diseases Aged Cognitive Dysfunction Aged, 80 and over Image Processing, Computer-Assisted Adult Humans Algorithms Follow-Up Studies Male Neural Networks, Computer Prognosis Middle Aged Female Case-Control Studies
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Emerging role of artificial intelligence in stroke imaging.

Expert review of neurotherapeutics Jul 20, 2021
: The recognition and therapy of patients with stroke is becoming progressively intricate as additional treatment choices become accessible and new associations between disease characteristics and treatment response are incessantly uncovered. Therefo...
Prognosis Clinical Decision-Making Stroke Humans Artificial Intelligence Patient Selection
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Identification and Diagnosis of Cerebral Stroke through Deep Convolutional Neural Network-Based Multimodal MRI Images.

Contrast media & molecular imaging Jul 20, 2021
This study aimed to explore the application value of multimodal magnetic resonance imaging (MRI) images based on the deep convolutional neural network (Conv.Net) in the diagnosis of strokes. Specifically, four automatic segmentation algorithms were p...
Stroke Magnetic Resonance Imaging Multimodal Imaging Prognosis Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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