Cardiovascular

Strokes

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

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Machine learning identification of key genes in cardioembolic stroke and atherosclerosis: their association with pan-cancer and immune cells.

BACKGROUND: Cardioembolic stroke (CS) and atherosclerosis (AS) are closely related diseases. Ferropt...

Development and validation of machine learning-based risk prediction models for ICU-acquired weakness: a prospective cohort study.

BACKGROUND: Intensive care unit (ICU)-acquired weakness (ICUAW) is a prevalent complication in criti...

Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients.

BACKGROUND: Coronary artery disease (CAD) remains a leading cause of global mortality, with stroke c...

Post-stroke aphasia analysis using topological alterations in brain functional networks.

. Nearly one-third of stroke patients develop aphasia. Although the function of classical language a...

Explainable machine learning model for predicting functional outcomes in posterior circulation stroke after thrombectomy.

BACKGROUND: The early prediction of functional outcomes in patients with posterior circulation strok...

Artificial intelligence-powered advancements in atrial fibrillation diagnostics: a systematic review.

BACKGROUND: Cardiovascular diseases remain one of the leading causes of mortality worldwide, with at...

Analysis of aPTT predictors after unfractionated heparin administration in intensive care units using machine learning models.

OBJECTIVES: Predicting optimal coagulation control using heparin in intensive care units (ICUs) rema...

Deep learning to identify stroke within 4.5 h using DWI and FLAIR in a prospective multicenter study.

To enhance thrombolysis eligibility in acute ischemic stroke, we developed a deep learning model to ...

Analyses of the mechanism and therapeutic targets of senescence related genes in ischemic stroke with multi-omics approach.

Ischemic stroke (IS) affects 11 million people annually, posing substantial clinical and economic bu...

A comprehensive explainable AI approach for enhancing transparency and interpretability in stroke prediction.

Stroke is among the leading causes of death, especially among old adults. Thus, the mortality rate a...

Motion artifacts and image quality in stroke MRI: associated factors and impact on AI and human diagnostic accuracy.

OBJECTIVES: To assess the prevalence of motion artifacts and the factors associated with them in a c...

ML enhanced bioactivity prediction for angiotensin II receptor: A potential anti-hypertensive drug target.

The process of drug discovery is intricate, and encompasses a series of detailed phases of research,...

Construction of a Machine Learning-Based Clopidogrel Resistance Risk Prediction Model.

Clopidogrel is extensively utilized for the prevention and treatment of cardiovascular, cerebrovascu...

Predicting internal carotid artery system risk based on common carotid artery by machine learning.

Early identification of internal carotid artery (ICA) system diseases is critical for preventing str...

Assessment and management of portal hypertension in patients with MASLD: advances and caveats.

INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly gaini...

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