AIMC Topic: Stroke

Clear Filters Showing 61 to 70 of 1130 articles

Predictive models of clinical outcome of endovascular treatment for anterior circulation stroke using machine learning.

Journal of neuroscience methods Jan 28, 2025
BACKGROUND AND PURPOSE: Mechanical Thrombectomy (MT) has recently become the standard of care for anterior circulation stroke with large vessel occlusion, but predictive factors of successful MT are still not clearly defined. To tailor treatment indi...
Male Middle Aged Humans Treatment Outcome Machine Learning Female Prospective Studies Aged Aged, 80 and over Support Vector Machine Ischemic Stroke Endovascular Procedures Stroke Registries Thrombectomy Outcome Assessment, Health Care
View on PubMed DOI

Comparative efficacy of robot-assisted therapy associated with other different interventions on upper limb rehabilitation after stroke: A protocol for a network meta-analysis.

PloS one Jan 28, 2025
INTRODUCTION: Post-stroke movement disorders are common, especially upper limb dysfunction, which seriously affects the physical and mental health of stroke patients. With the continuous development of intelligent technology, robot-assisted therapy h...
Upper Extremity Stroke Rehabilitation Network Meta-Analysis as Topic Robotics Meta-Analysis as Topic Stroke Humans Treatment Outcome Randomized Controlled Trials as Topic
View on PubMed DOI

Optimizing stroke prediction using gated recurrent unit and feature selection in Sub-Saharan Africa.

Clinical neurology and neurosurgery Jan 27, 2025
BACKGROUND: Stroke remains a leading cause of death and disability worldwide, with African populations bearing a disproportionately high burden due to limited healthcare infrastructure. Early prediction and intervention are critical to reducing strok...
Female Humans Middle Aged Aged Neural Networks, Computer Stroke Male Machine Learning Africa South of the Sahara
View on PubMed DOI

Ledged Beam Walking Test Automatic Tracker: Artificial intelligence-based functional evaluation in a stroke model.

Computers in biology and medicine Jan 24, 2025
The quantitative evaluation of motor function in experimental stroke models is essential for the preclinical assessment of new therapeutic strategies that can be transferred to clinical research; however, conventional assessment tests are hampered by...
Male Disease Models, Animal Artificial Intelligence Animals Stroke Walking
View on PubMed DOI

A comprehensive analysis of stroke risk factors and development of a predictive model using machine learning approaches.

Molecular genetics and genomics : MGG Jan 24, 2025
Stroke is a leading cause of death and disability globally, particularly in China. Identifying risk factors for stroke at an early stage is critical to improving patient outcomes and reducing the overall disease burden. However, the complexity of str...
Aged Male Middle Aged Machine Learning Stroke Proportional Hazards Models Female China Humans Risk Factors Longitudinal Studies
View on PubMed DOI

Clinical validation of an individualized auto-adaptative serious game for combined cognitive and upper limb motor robotic rehabilitation after stroke.

Journal of neuroengineering and rehabilitation Jan 23, 2025
BACKGROUND: Intensive rehabilitation through challenging and individualized tasks are recommended to enhance upper limb recovery after stroke. Robot-assisted therapy (RAT) and serious games could be used to enhance functional recovery by providing si...
Robotics Stroke Upper Extremity Video Games Stroke Rehabilitation Adult Male Middle Aged Humans Female Aged
View on PubMed DOI

A novel hybrid ViT-LSTM model with explainable AI for brain stroke detection and classification in CT images: A case study of Rajshahi region.

Computers in biology and medicine Jan 22, 2025
Computed tomography (CT) scans play a key role in the diagnosis of stroke, a leading cause of morbidity and mortality worldwide. However, interpreting these scans is often challenging, necessitating automated solutions for timely and accurate diagnos...
Tomography, X-Ray Computed Stroke Neural Networks, Computer Artificial Intelligence Brain Humans
View on PubMed DOI

Eeg Microstates and Balance Parameters for Stroke Discrimination: A Machine Learning Approach.

Brain topography Jan 22, 2025
Electroencephalography microstates (EEG-MS) show promise to be a neurobiological biomarker in stroke. Thus, the aim of the study was to identify biomarkers to discriminate stroke patients from healthy individuals based on EEG-MS and clinical features...
Humans Aged Adult Male Middle Aged Machine Learning Brain Female Electroencephalography Stroke
View on PubMed DOI

Bioinspired Smart Triboelectric Soft Pneumatic Actuator-Enabled Hand Rehabilitation Robot.

Advanced materials (Deerfield Beach, Fla.) Jan 10, 2025
Quantitative assessment for post-stroke spasticity remains a significant challenge due to the encountered variable resistance during passive stretching, which can lead to the widely used modified Ashworth scale (MAS) for spasticity assessment dependi...
Nephropidae Stroke Stroke Rehabilitation Muscle Spasticity Animals Female Equipment Design Male Convolutional Neural Networks Humans Aged Hand Middle Aged Robotics Adult
View on PubMed DOI

Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques.

PloS one Jan 9, 2025
Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the development of accurate and reliable predictive models to facilitate early detection and intervention. While state of the art work has focused on various ma...
Humans Machine Learning Decision Trees Algorithms Stroke Bayes Theorem ROC Curve Voting Support Vector Machine
View on PubMed DOI
Popular Topics
Recent Journals