Cardiovascular

Strokes

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

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Optimizing stroke detection with genetic algorithm-based feature selection in deep learning models.

Brain stroke is a leading cause of disability and mortality worldwide, necessitating the development...

Machine learning application for bleeding risk prediction in patients with atrial fibrillation treated with oral anticoagulation.

Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with a significantly increased...

Prediction of NIHSS Scores and Acute Ischemic Stroke Severity Using a Cross-attention Vision Transformer Model with Multimodal MRI.

RATIONALE AND OBJECTIVES: This study aimed to develop and evaluate models for classifying the severi...

Towards Artificial Intelligence-based Decision Support for Large-scale Screening for Atrial Fibrillation.

Atrial fibrillation is a prevalent cardiac arrhythmia, significantly increasing the risk of stroke, ...

Precision-Optimised Post-Stroke Prognoses.

BACKGROUND: Current medicine cannot confidently predict who will recover from post-stroke impairment...

Identification of neurological text markers associated with risk of stroke.

BACKGROUND: Delayed or missed stroke diagnosis is associated with poor outcomes. We utilized natural...

StrokeNeXt: an automated stroke classification model using computed tomography and magnetic resonance images.

BACKGROUND AND OBJECTIVE: Stroke ranks among the leading causes of disability and death worldwide. T...

Research on ischemic stroke risk assessment based on CTA radiomics and machine learning.

BACKGROUND: The study explores the value of a model constructed by integrating CTA-based carotid pla...

Machine-learning model for predicting left atrial thrombus in patients with paroxysmal atrial fibrillation.

OBJECTIVE: Left atrial thrombus (LAT) poses a significant risk for stroke and other thromboembolic c...

DiaBD: A diabetes dataset for enhanced risk analysis and research in Bangladesh.

Diabetes is a chronic condition affecting millions worldwide and severely impacts health and quality...

Stroke Sensitivity Calculation in Medical Emergency Calls and Factors Associated With Stroke Suspicion: A Retrospective Registry-Based Study.

STUDY OBJECTIVE: Sensitivity for stroke detection in emergency medical communication centers (EMCCs)...

Harnessing AI for aphasia: a case report on ChatGPT's role in supporting written expression.

INTRODUCTION: Aphasia is associated with impairments in written language, including difficulty with ...

Benchmarking machine learning models in lesion-symptom mapping for predicting language outcomes in stroke survivors.

Several decades of research have investigated the neural connections between stroke-induced brain da...

Gut microbiota, metabolites, and pulmonary hypertension: Mutual regulation and potential therapies.

Pulmonary hypertension is a progressive condition characterized by increased pulmonary vascular pres...

Bioinformatics prediction of function of T-cell exhaustion related genes in ischemic stroke.

Ischemic stroke (IS) is a multifactorial disease caused by the interaction of a variety of environme...

The use of imaging in the diagnosis and treatment of thromboembolic pulmonary hypertension.

Chronic thromboembolic pulmonary hypertension (CTEPH) is a potentially life-threatening condition, c...

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