AIMC Topic: Stroke

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Can deep learning classify stroke subtypes from chest X-rays?

EBioMedicine Aug 4, 2021
Radiography Stroke X-Rays Humans Deep Learning
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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...
Robotics Stroke Gait Exercise Therapy Stroke Rehabilitation 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...
Humans Female Aged Male Middle Aged Robotics Upper Extremity Stroke Stroke Rehabilitation Task Performance and Analysis
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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...
Humans Machine Learning Algorithms Stroke
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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...
Supervised Machine Learning Stroke Rehabilitation Patient Discharge Stroke Aged, 80 and over Male Middle Aged Support Vector Machine Decision Trees Discriminant Analysis Prognosis Female Aged Decision Support Techniques Databases, Factual Humans
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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....
Image Processing, Computer-Assisted Follow-Up Studies Magnetic Resonance Imaging Algorithms Aged Case-Control Studies Prognosis Aged, 80 and over Cognitive Dysfunction Female Stroke Adult Humans Male Neural Networks, Computer Cerebral Small Vessel Diseases Middle Aged
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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...
Humans Stroke Patient Selection Artificial Intelligence Prognosis Clinical Decision-Making
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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...
Neural Networks, Computer Algorithms Prognosis Magnetic Resonance Imaging Humans Imaging, Three-Dimensional Multimodal Imaging Image Processing, Computer-Assisted Stroke
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A scoping review of design requirements for a home-based upper limb rehabilitation robot for stroke.

Topics in stroke rehabilitation Jul 19, 2021
BACKGROUND: Home-based robotic therapy is a trend of post-stroke upper limb rehabilitation. Although home-based upper limb rehabilitation robots have been developed over several decades, no design specification has been published.
Humans Robotics Movement Stroke Upper Extremity Stroke Rehabilitation
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Reliable and valid robot-assisted assessments of hand proprioceptive, motor and sensorimotor impairments after stroke.

Journal of neuroengineering and rehabilitation Jul 16, 2021
BACKGROUND: Neurological injuries such as stroke often differentially impair hand motor and somatosensory function, as well as the interplay between the two, which leads to limitations in performing activities of daily living. However, it is challeng...
Upper Extremity Stroke Rehabilitation Humans Reproducibility of Results Robotics Hand Stroke Activities of Daily Living
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