AIMC Topic: Stroke

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Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey.

Rheumatology international Jan 2, 2025
Women are disproportionately affected by chronic autoimmune diseases (AD) like systemic lupus erythematosus (SLE), scleroderma, rheumatoid arthritis (RA), and Sjögren's syndrome. Traditional evaluations often underestimate the associated cardiovascul...
Carotid Intima-Media Thickness Cardiovascular Diseases Risk Assessment Stroke Autoimmune Diseases Biomarkers Female Risk Factors Humans Artificial Intelligence
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Implementing an AI algorithm in the clinical setting: a case study for the accuracy paradox.

European radiology Dec 31, 2024
OBJECTIVES: We report our experience implementing an algorithm for the detection of large vessel occlusion (LVO) for suspected stroke in the emergency setting, including its performance, and offer an explanation as to why it was poorly received by ra...
Humans Artificial Intelligence Algorithms Retrospective Studies Middle Aged Emergency Service, Hospital Radiographic Image Interpretation, Computer-Assisted Stroke Computed Tomography Angiography Female Aged Sensitivity and Specificity Male
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Research on multi-label recognition of tongue features in stroke patients based on deep learning.

Scientific reports Dec 30, 2024
Stroke has become the leading cause of disability in adults worldwide. Early precise rehabilitation intervention is crucial for the recovery of stroke patients, with the key lying in accurately identifying patients' physical characteristics during th...
Tongue Deep Learning Image Processing, Computer-Assisted Medicine, Chinese Traditional Stroke Female Aged Male Middle Aged Humans
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Explainable artificial intelligence for stroke prediction through comparison of deep learning and machine learning models.

Scientific reports Dec 28, 2024
Failure to predict stroke promptly may lead to delayed treatment, causing severe consequences like permanent neurological damage or death. Early detection using deep learning (DL) and machine learning (ML) models can enhance patient outcomes and miti...
Humans Artificial Intelligence Machine Learning Sensitivity and Specificity Male Middle Aged Female Aged Deep Learning ROC Curve Stroke Iran
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Effect of artificial intelligence-based video-game system on dysphagia in patients with stroke: A randomized controlled trial.

Clinical nutrition (Edinburgh, Scotland) Dec 25, 2024
BACKGROUND AND AIMS: Post-stroke dysphagia is highly prevalent and causes complication. While video games have demonstrated potential to increase patient engagement in rehabilitation, their efficacy in stroke patients with dysphagia remains unclear. ...
Female Aged Male Middle Aged Humans Artificial Intelligence Prospective Studies Deglutition Disorders Deglutition Video Games Stroke Rehabilitation Quality of Life Treatment Outcome Single-Blind Method Stroke
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Predicting upper limb motor recovery in subacute stroke patients via fNIRS-measured cerebral functional responses induced by robotic training.

Journal of neuroengineering and rehabilitation Dec 23, 2024
BACKGROUND: Neural activation induced by upper extremity robot-assisted training (UE-RAT) helps characterize adaptive changes in the brains of poststroke patients, revealing differences in recovery potential among patients. However, it remains unclea...
Adult Male Middle Aged Spectroscopy, Near-Infrared Humans Stroke Machine Learning Recovery of Function Upper Extremity Female Robotics Stroke Rehabilitation Aged
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Augmented Effect of Combined Robotic Assisted Gait Training and Proprioceptive Neuromuscular Facilitation-irradiation Technique on Muscle Activation and Ankle Kinematics in Hemiparetic Gait: A Preliminary Study.

NeuroRehabilitation Dec 19, 2024
BackgroundProprioceptive neuromuscular facilitation (PNF) alone has limited effectiveness in restoring gait, while robotic-assisted gait training (RAGT) improves motor relearning through repetitive, task-specific movements. Combining PNF with robotic...
Gait Disorders, Neurologic Robotics Paresis Biomechanical Phenomena Humans Electromyography Exercise Therapy Male Female Stroke Ankle Middle Aged Aged Gait Muscle, Skeletal Adult Stroke Rehabilitation Proprioception
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Exploring the prognostic impact of triglyceride-glucose index in critically ill patients with first-ever stroke: insights from traditional methods and machine learning-based mortality prediction.

Cardiovascular diabetology Dec 18, 2024
BACKGROUND: The incidence and mortality of first-ever strokes have risen sharply, especially in the intensive care unit (ICU). Emerging surrogate for insulin resistance, triglyceride-glucose index (TyG), has been linked to stroke prognosis. We aims t...
Cause of Death Stroke Triglycerides Blood Glucose Time Factors Hospital Mortality Predictive Value of Tests Female Reproducibility of Results Risk Factors Aged Risk Assessment China Length of Stay Male Middle Aged Prognosis Retrospective Studies Critical Illness Intensive Care Units Humans Machine Learning Databases, Factual Biomarkers
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Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Dec 12, 2024
BACKGROUND: Stroke-associated Hospital Acquired Pneumonia (HAP) significantly impacts patient outcomes. This study explores the utility of machine learning models in predicting HAP in stroke patients, leveraging national registry data and SHapley Add...
Humans Risk Factors Aged Aged, 80 and over Male Middle Aged Machine Learning Decision Support Techniques Prognosis Female Risk Assessment Predictive Value of Tests Ischemic Stroke Registries Stroke Hemorrhagic Stroke Healthcare-Associated Pneumonia
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Machine learning and deep learning algorithms in stroke medicine: a systematic review of hemorrhagic transformation prediction models.

Journal of neurology Dec 12, 2024
BACKGROUND: Acute ischemic stroke (AIS) is a major cause of morbidity and mortality, with hemorrhagic transformation (HT) further worsening outcomes. Traditional scoring systems have limited predictive accuracy for HT in AIS. Recent research has expl...
Machine Learning Deep Learning Ischemic Stroke Stroke Humans
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