AIMC Topic: Stroke

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Metabolomic biomarkers could be molecular clocks in timing stroke onset.

Scientific reports Jul 1, 2025
The preferred treatment for acute ischaemic stroke (AIS) is intravenous thrombolysis (IVT) administered within 4.5 hours (h) of symptom onset. This study aimed to identify metabolomic biomarkers for distinguishing AIS patients within 4.5 h of symptom...
Thrombolytic Therapy Stroke Case-Control Studies Time Factors Metabolomics Ischemic Stroke Humans Aged Biomarkers Aged, 80 and over Retrospective Studies Male Female Middle Aged
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A modified generative adversarial networks method for assisting the diagnosis of deep venous thrombosis complications in stroke patients.

Scientific reports Jul 1, 2025
Discriminate deep vein thrombosis, one of the complications in early stroke patients, in order to assist in diagnosis. We have constructed a new method called ACWGAN by combining ACGAN and WGAN methods for data augmentation to to enhance the data of ...
Humans Neural Networks, Computer Deep Learning Venous Thrombosis Stroke Generative Adversarial Networks Female Aged Male Middle Aged
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Data extraction from free-text stroke CT reports using GPT-4o and Llama-3.3-70B: the impact of annotation guidelines.

European radiology experimental Jun 19, 2025
BACKGROUND: To evaluate the impact of an annotation guideline on the performance of large language models (LLMs) in extracting data from stroke computed tomography (CT) reports.
Tomography, X-Ray Computed Stroke Data Mining Humans
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Neural mechanisms underlying the improvement of gait disturbances in stroke patients through robot-assisted gait training based on QEEG and fNIRS: a randomized controlled study.

Journal of neuroengineering and rehabilitation Jun 18, 2025
BACKGROUND: Robot-assisted gait training is more effective in improving lower limb function and walking ability in stroke patients compared to conventional rehabilitation, but the neural mechanisms remain unclear. This study aims to explore the effec...
Stroke Rehabilitation Motor Cortex Gait Disorders, Neurologic Middle Aged Spectroscopy, Near-Infrared Female Treatment Outcome Aged Robotics Humans Adult Electroencephalography Male Stroke Gait Exercise Therapy
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Research on the evaluation and rehabilitation training system of upper limb motor function for poststroke patients based on artificial intelligence: a study protocol for a randomized controlled trial.

Trials Jun 13, 2025
BACKGROUND: Stroke-induced upper limb dysfunction requires functional assessment and rehabilitation. The intelligent rehabilitation assessment and virtual reality training system for upper limb motor function in stroke can accurately and objectively ...
Humans Artificial Intelligence Female Aged Virtual Reality Time Factors Treatment Outcome Recovery of Function Adult Biomechanical Phenomena Male Middle Aged Randomized Controlled Trials as Topic Stroke Disability Evaluation Motor Activity Single-Blind Method Upper Extremity Stroke Rehabilitation
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Comparison of lesion segmentation performance in diffusion-weighted imaging and apparent diffusion coefficient images of stroke by artificial neural networks.

PloS one Jun 9, 2025
Stroke is the second leading cause of death, accounting for 11% of deaths worldwide. Comparing diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) images is important for stroke diagnosis, but most studies have focused on lesion...
Retrospective Studies Male Stroke Female Humans Aged Diffusion Magnetic Resonance Imaging Middle Aged Neural Networks, Computer Aged, 80 and over Image Processing, Computer-Assisted Ischemic Stroke
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StrokeNeXt: an automated stroke classification model using computed tomography and magnetic resonance images.

BMC medical imaging Jun 5, 2025
BACKGROUND AND OBJECTIVE: Stroke ranks among the leading causes of disability and death worldwide. Timely detection can reduce its impact. Machine learning delivers powerful tools for image‑based diagnosis. This study introduces StrokeNeXt, a lightwe...
Humans Neural Networks, Computer Machine Learning Algorithms Tomography, X-Ray Computed Magnetic Resonance Imaging Stroke
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Advanced predictive modeling for enhanced mortality prediction in ICU stroke patients using clinical data.

PloS one May 28, 2025
Background Stroke is second-leading cause of disability and death among adults. Approximately 17 million people suffer from a stroke annually, with about 85% being ischemic strokes. Predicting mortality of ischemic stroke patients in intensive care u...
Aged Male Middle Aged Deep Learning Hospital Mortality Ischemic Stroke Stroke Humans Databases, Factual Intensive Care Units Female
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Speckle pattern analysis with deep learning for low-cost stroke detection: a phantom-based feasibility study.

Journal of biomedical optics May 7, 2025
SIGNIFICANCE: Stroke is a leading cause of disability worldwide, necessitating rapid and accurate diagnosis to limit irreversible brain damage. However, many advanced imaging modalities (computerized tomography, magnetic resonance imaging) remain ina...
Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Phantoms, Imaging Humans Chickens Animals Stroke Deep Learning Feasibility Studies
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Effects of exoskeleton rehabilitation robot training on neuroplasticity and lower limb motor function in patients with stroke.

BMC neurology May 3, 2025
BACKGROUND: Lower limb exoskeleton rehabilitation robot is a new technology to improve the lower limb motor function of stroke patients. Recovery of motor function after stroke is closely related to neuroplasticity in the motor cortex and associated ...
Neuronal Plasticity Humans Stroke Rehabilitation Lower Extremity Transcranial Magnetic Stimulation Recovery of Function Middle Aged Female Electromyography Robotics Adolescent Aged Stroke Treatment Outcome Young Adult Walking Adult Exoskeleton Device Male
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