AIMC Topic: Stroke

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`Probabilistic ensemble learning for prediction of stroke thrombectomy outcomes from the NeuroVascular Quality Initiative-Quality Outcomes Database (NVQI-QOD) Acute Ischemic Stroke Registry.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 1, 2025
INTRODUCTION: Mechanical Thrombectomy (MT) is the standard of care in the interventional management of Acute Ischemic Stroke (AIS). The NVQI-QOD registry records detailed patient characteristics, pre-operative imaging, procedure metrics, and post-ope...
Humans Clinical Decision-Making Female Risk Factors Aged Neural Networks, Computer Machine Learning Decision Support Techniques Databases, Factual Ischemic Stroke Disability Evaluation Functional Status Registries Stroke Thrombectomy Ensemble Learning Time Factors Treatment Outcome Recovery of Function Predictive Value of Tests Aged, 80 and over Male Middle Aged
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Machine learning prediction models for stroke-associated pneumonia:Meta-analysis.

Computers in biology and medicine Sep 1, 2025
OBJECTIVE: The heterogeneity of machine learning (ML) models predicting the risk of stroke-associated pneumonia (SAP) is considerable. This study aims to conduct a meta-analysis and comparison of published ML models that predict SAP risk.
Machine Learning Pneumonia Stroke Humans
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Towards Automated Eye Movement Characterization for Stroke Patients Using Synthetic Video Data and Machine Learning.

Studies in health technology and informatics Aug 7, 2025
Stroke is a critical medical emergency that can cause permanent disability or death. Rapid identification of stroke, especially in prehospital settings, is crucial for timely treatment. Video analysis and machine learning (ML) could facilitate the pr...
Machine Learning Eye Movements Stroke Video Recording Humans
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Confidence-linked and uncertainty-based staged framework for phenotype validation using large language models.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2025
OBJECTIVES: This study develops and validates the confidence-linked and uncertainty-based staged (CLUES) framework by integrating large language models (LLMs) with uncertainty quantification to assist manual chart review while ensuring reliability th...
Republic of Korea Reproducibility of Results Hospitalization Natural Language Processing Humans Phenotype Electronic Health Records Stroke Large Language Models Uncertainty
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Associations of the Hs-CRP/HDL-C ratio with stroke among US adults: Evidence from NHANES 2015-2018.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 1, 2025
BACKGROUND: The high-sensitivity C-reactive protein (Hs-CRP)-to-high-density lipoprotein cholesterol (HDL-C) ratio, which integrates insights into inflammation and lipid metabolism, serves as a comprehensive indicator. The association between this ra...
Prevalence Nutrition Surveys Nomograms United States Predictive Value of Tests C-Reactive Protein Stroke Cross-Sectional Studies Machine Learning Male Biomarkers Middle Aged Risk Factors Prognosis Cholesterol, HDL Humans Risk Assessment Aged Dyslipidemias Female Adult Inflammation Mediators
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Genetic Risk Scores in Stroke Research and Care.

Stroke Aug 1, 2025
Stroke remains a leading cause of death and disability worldwide. While well-established risk factors play a major role, genetic predisposition is a crucial determinant of stroke susceptibility, with heritability estimates up to 39% for ischemic stro...
Stroke Genetic Risk Score Humans Risk Factors Risk Assessment Genome-Wide Association Study Genetic Predisposition to Disease Cerebral Hemorrhage
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Distinct Disconnection Patterns Explain Task-Specific Motor Impairment and Outcome After Stroke.

Stroke Aug 1, 2025
BACKGROUND: Stroke is increasingly understood as a network disorder with symptoms often arising from disruption of white matter connectivity. Previous connectome-based lesion-symptom mapping studies revealed that poststroke motor deficits are not onl...
Male Middle Aged Humans White Matter Female Connectome Aged Upper Extremity Aged, 80 and over Recovery of Function Stroke
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Unravelling the brain resilience following stroke: From injury to rewiring of the brain through pathway activation, drug targets, and therapeutic interventions.

Ageing research reviews Jul 1, 2025
Synaptic plasticity is a neuron's intrinsic ability to make new connections throughout life. The morphology and function of synapses are highly susceptible to any pathological condition. Ischemic stroke is a cerebrovascular event that affects various...
Glutamic Acid Humans Neuronal Plasticity Brain Stroke Animals Synapses Signal Transduction Neuroglia
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Prediction of post stroke depression with machine learning: A national multicenter cohort study.

Journal of psychiatric research Jul 1, 2025
OBJECTIVE: Post-stroke depression (PSD) is a common psychiatric complication following stroke, with low clinical detection rates and delayed diagnosis. Most existing PSD prediction models suffer from incomplete data inclusion, which limits their clin...
China Female Follow-Up Studies Humans Depression Aged Ischemic Stroke Machine Learning Cohort Studies Male Stroke Prognosis Middle Aged
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Impact of spectrum bias on deep learning-based stroke MRI analysis.

European journal of radiology Jul 1, 2025
PURPOSE: To evaluate spectrum bias in stroke MRI analysis by excluding cases with uncertain acute ischemic lesions (AIL) and examining patient, imaging, and lesion factors associated with these cases.
Aged, 80 and over Male Middle Aged Magnetic Resonance Imaging Deep Learning Retrospective Studies Humans Bias Female Stroke Aged
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