AIMC Topic: Stroke

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Antistroke Network Pharmacological Prediction of Xiaoshuan Tongluo Recipe Based on Drug-Target Interaction Based on Deep Learning.

Computational and mathematical methods in medicine Aug 2, 2022
Stroke is a common cerebrovascular disease that threatens human health, and the search for therapeutic drugs is the key to treatment. New drug discovery was driven by many accidental factors in the early stage. With the deepening of research, disease...
Deep Learning Machine Learning Stroke Humans Drugs, Chinese Herbal Algorithms Neural Networks, Computer
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Use of Machine Learning to Develop Prediction Models for Mortality and Stroke in Patients Undergoing Balloon Aortic Valvuloplasty.

Cardiovascular revascularization medicine : including molecular interventions Jul 30, 2022
OBJECTIVE: To develop an artificial intelligence, machine learning prediction model for estimating in-hospital mortality and stroke in patients undergoing balloon aortic valvuloplasty (BAV).
Humans Artificial Intelligence Stroke Machine Learning
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Unsupervised Deep Learning for Stroke Lesion Segmentation on Follow-up CT Based on Generative Adversarial Networks.

AJNR. American journal of neuroradiology Jul 28, 2022
BACKGROUND AND PURPOSE: Supervised deep learning is the state-of-the-art method for stroke lesion segmentation on NCCT. Supervised methods require manual lesion annotations for model development, while unsupervised deep learning methods such as gener...
Humans Stroke Infarction Image Processing, Computer-Assisted Follow-Up Studies Tomography, X-Ray Computed Ischemic Stroke Deep Learning
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Effect of Robot-Assisted Training on Unilateral Spatial Neglect After Stroke: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Neurorehabilitation and neural repair Jul 26, 2022
BACKGROUND: Several studies have shown that robotic devices can effectively improve motor function in stroke patients through limb activation. However, the effects of robot-assisted therapy on perceptual deficits after stroke is unclear.
Stroke Rehabilitation Perceptual Disorders Stroke Activities of Daily Living Randomized Controlled Trials as Topic Robotics Humans
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Short and long-term effects of robot-assisted therapy on upper limb motor function and activity of daily living in patients post-stroke: a meta-analysis of randomized controlled trials.

Journal of neuroengineering and rehabilitation Jul 21, 2022
OBJECTIVE: To investigate the effect of robot-assisted therapy (RAT) on upper limb motor control and activity function in poststroke patients compared with that of non-robotic therapy.
Upper Extremity Stroke Rehabilitation Recovery of Function Randomized Controlled Trials as Topic Stroke Activities of Daily Living Robotics Humans
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Effects of robotic rehabilitation on recovery of hand functions in acute stroke: A preliminary randomized controlled study.

Acta neurologica Scandinavica Jul 20, 2022
OBJECTIVE: The aim of this study was to investigate the effects of EMG-driven robotic rehabilitation on hand motor functions and daily living activities of patients with acute ischemic stroke.
Humans Treatment Outcome Recovery of Function Single-Blind Method Stroke Activities of Daily Living Robotics Ischemic Stroke Upper Extremity Stroke Rehabilitation
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Deep Learning Applications for Acute Stroke Management.

Annals of neurology Jul 20, 2022
Brain imaging is essential to the clinical care of patients with stroke, a leading cause of disability and death worldwide. Whereas advanced neuroimaging techniques offer opportunities for aiding acute stroke management, several factors, including ti...
Humans Deep Learning Stroke Neuroimaging Neural Networks, Computer Reproducibility of Results
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Rehabilitation robotics after stroke: a bibliometric literature review.

Expert review of medical devices Jul 18, 2022
INTRODUCTION: Stroke is the leading cause of long-term disability in developed countries. Due to population aging, the number of people requiring rehabilitation after stroke is going to rise in the coming decades. Robot-mediated neurorehabilitation h...
Upper Extremity Humans Robotics Bibliometrics Stroke Rehabilitation Stroke Neurological Rehabilitation
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Identification of early invisible acute ischemic stroke in non-contrast computed tomography using two-stage deep-learning model.

Theranostics Jul 18, 2022
Although non-contrast computed tomography (NCCT) is the recommended examination for the suspected acute ischemic stroke (AIS), it cannot detect significant changes in the early infarction. We aimed to develop a deep-learning model to identify early ...
Male Middle Aged Deep Learning Tomography, X-Ray Computed Stroke Humans Aged Ischemic Stroke Retrospective Studies Area Under Curve
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Effects of robotic priming of bilateral arm training, mirror therapy, and impairment-oriented training on sensorimotor and daily functions in patients with chronic stroke: study protocol of a single-blind, randomized controlled trial.

Trials Jul 15, 2022
BACKGROUND: Combining robotic therapy (RT) with task-oriented therapy is an emerging strategy to facilitate motor relearning in stroke rehabilitation. This study protocol will compare novel rehabilitation regimens that use bilateral RT as a priming t...
Stroke Rehabilitation Mirror Movement Therapy Arm Upper Extremity Randomized Controlled Trials as Topic Stroke Humans Single-Blind Method Robotics Treatment Outcome Activities of Daily Living Recovery of Function
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