AIMC Topic: Stroke

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Diffusion-/perfusion-weighted imaging fusion to automatically identify stroke within 4.5 h.

European radiology Mar 15, 2024
OBJECTIVES: We aimed to develop machine learning (ML) models based on diffusion- and perfusion-weighted imaging fusion (DP fusion) for identifying stroke within 4.5 h, to compare them with DWI- and/or PWI-based ML models, and to construct an automati...
Machine Learning Female Aged Humans Time Factors Multimodal Imaging Stroke Sensitivity and Specificity Male Middle Aged Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging
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Magnetic resonance imaging-based deep learning imaging biomarker for predicting functional outcomes after acute ischemic stroke.

European journal of radiology Mar 2, 2024
PURPOSE: Clinical risk scores are essential for predicting outcomes in stroke patients. The advancements in deep learning (DL) techniques provide opportunities to develop prediction applications using magnetic resonance (MR) images. We aimed to devel...
Ischemic Stroke Stroke Brain Ischemia Deep Learning Magnetic Resonance Imaging Humans Biomarkers Retrospective Studies
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Data Augmentation Techniques for Accurate Action Classification in Stroke Patients with Hemiparesis.

Sensors (Basel, Switzerland) Mar 1, 2024
Stroke survivors with hemiparesis require extensive home-based rehabilitation. Deep learning-based classifiers can detect actions and provide feedback based on patient data; however, this is difficult owing to data sparsity and heterogeneity. In this...
Paresis Survivors Humans Neural Networks, Computer Stroke
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The Effects of Combined Virtual Reality Exercises and Robot Assisted Gait Training on Cognitive Functions, Daily Living Activities, and Quality of Life in High Functioning Individuals With Subacute Stroke.

Perceptual and motor skills Feb 28, 2024
Stroke is a global health concern causing significant mortality. Survivors face physical, cognitive, and emotional challenges, affecting their life satisfaction and social participation. Robot-assisted gait training with virtual reality, like Lokomat...
Middle Aged Stroke Rehabilitation Quality of Life Virtual Reality Humans Aged Gait Female Male Exercise Therapy Activities of Daily Living Cognition Robotics Stroke
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Automatic quantitative stroke severity assessment based on Chinese clinical named entity recognition with domain-adaptive pre-trained large language model.

Artificial intelligence in medicine Feb 27, 2024
BACKGROUND: Stroke is a prevalent disease with a significant global impact. Effective assessment of stroke severity is vital for an accurate diagnosis, appropriate treatment, and optimal clinical outcomes. The National Institutes of Health Stroke Sca...
China Electronic Health Records Stroke Language Natural Language Processing Reproducibility of Results Humans Artificial Intelligence
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Trends in stroke-related journals: Examination of publication patterns using topic modeling.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Feb 25, 2024
OBJECTIVES: This study aims to demonstrate the capacity of natural language processing and topic modeling to manage and interpret the vast quantities of scholarly publications in the landscape of stroke research. These tools can expedite the literatu...
Natural Language Processing Periodicals as Topic Stroke Data Mining Stroke Rehabilitation Biomedical Research Animals Bibliometrics Humans
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Simultaneous high-definition transcranial direct current stimulation and robot-assisted gait training in stroke patients.

Scientific reports Feb 23, 2024
This study investigates whether simultaneous high-definition transcranial direct current stimulation (HD-tDCS) enhances the effects of robot-assisted gait training in stroke patients. Twenty-four participants were randomly allocated to either the rob...
Stroke Rehabilitation Transcranial Direct Current Stimulation Robotics Stroke Gait Humans Treatment Outcome
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A stroke prediction framework using explainable ensemble learning.

Computer methods in biomechanics and biomedical engineering Feb 21, 2024
The death of brain cells occurs when blood flow to a particular area of the brain is abruptly cut off, resulting in a stroke. Early recognition of stroke symptoms is essential to prevent strokes and promote a healthy lifestyle. FAST tests (looking fo...
ROC Curve Humans Stroke Machine Learning Ensemble Learning Risk Factors
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Reimagining Stroke Quality of Care in the Age of Artificial Intelligence and Digital Enablement.

Stroke Feb 21, 2024
Humans Artificial Intelligence Stroke Quality of Health Care
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Machine learning decision support model for discharge planning in stroke patients.

Journal of clinical nursing Feb 15, 2024
BACKGROUND/AIM: Efficient discharge for stroke patients is crucial but challenging. The study aimed to develop early predictive models to explore which patient characteristics and variables significantly influence the discharge planning of patients, ...
Stroke Aged Male Middle Aged Cohort Studies Patient Discharge Decision Support Techniques Prospective Studies Female Humans Machine Learning
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