Cardiovascular

Strokes

Latest AI and machine learning research in strokes for healthcare professionals.

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Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images.

Brain stroke is an illness which affects almost every age group, particularly people over 65. There ...

How artificial intelligence is shaping neuropsychology: A focus on cognitive assessment of neurodegenerative disorders.

Artificial intelligence (AI) and machine learning (ML) algorithms are revolutionising the world, and...

Current Landscape and Future Directions Regarding Generative Large Language Models in Stroke Care: Scoping Review.

BACKGROUND: Stroke has a major impact on global health, causing long-term disability and straining h...

Multivideo Models for Classifying Hand Impairment After Stroke Using Egocentric Video.

OBJECTIVES: After stroke, hand function assessments are used as outcome measures to evaluate new reh...

Development and interpretation of a machine learning risk prediction model for post-stroke depression in a Chinese population.

Current evidence for predictive models of post-stroke depression (PSD) risk based on machine learnin...

High-intensity interval training with robot-assisted gait therapy vs. treadmill gait therapy in chronic stroke: a randomized controlled trial.

OBJECTIVE: Stroke is a leading cause of long-term disability, significantly impacting patients' mobi...

Age-related variation in hemoglobin glycation index and stroke mortality: mediation and machine learning in a cohort study.

To investigate the associations between both age and the hemoglobin glycation index (HGI) and the 30...

Enhanced stroke risk prediction in hypertensive patients through deep learning integration of imaging and clinical data.

BACKGROUND: Stroke is one of the leading causes of death and disability worldwide, with a significan...

In silico analysis of atrial fibrillation and hypertension mechanism of action secondary to ibrutinib/acalabrutinib in chronic lymphocytic leukemia.

Ibrutinib and acalabrutinib are first- and next-generation Bruton Tyrosine Kinase inhibitors (BTKi),...

Biomarker panels for improved risk prediction and enhanced biological insights in patients with atrial fibrillation.

Atrial fibrillation (AF) increases the risk of adverse cardiovascular events, yet the underlying bio...

Challenges in the Management of Stroke in Intensive Care Units in Low- and Middle-Income Countries.

Despite numerous advances in stroke care over the last decades, financial and structural barriers li...

Candesartan Mitigates Perioperative Neurocognitive Disorders by Modulating Hypertension-Linked Neuroinflammatory Factor.

Perioperative neurocognitive disorders (PND) are linked to neuroinflammation, a key factor in hypert...

PDSNet: Patient-Disease Dual Spatial Similarity Neural Networks for Predicting Heart Failure Risk Using Short Electronic Health Records.

Heart failure (HF) is a complex and heterogeneous syndrome caused by diverse factors, such as atrial...

Connectomic stroke lesion measures provide no benefit over basic spatial lesion features in the prognosis of global stroke outcome measures.

The prediction of stroke outcome from imaging markers could be used to guide individualized therapeu...

Differential effects of demographics and risk factors on the nonlinear orthotropic mechanical properties of human femoropopliteal arteries.

Understanding how demographics and risk factors differentially affect the nonlinear orthotropic mech...

Accuracy of Large Language Models to Identify Stroke Subtypes Within Unstructured Electronic Health Record Data.

BACKGROUND: While codes suffice for identifying stroke events in surveillance, accurately classifyi...

Methinks AI software for identifying large vessel occlusion in non-contrast head CT: A pilot retrospective study in American population.

BackgroundNon-contrast computed tomography (NCCT) is the first image for stroke assessment, but its ...

Carotid and femoral bifurcation plaques detected by ultrasound as predictors of cardiovascular events.

Risk factor-based algorithms give a good estimate of cardiovascular (CV) risk at the population leve...

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