Latest AI and machine learning research in hypertension for healthcare professionals.
Hypertensive intracerebral hemorrhage (ICH) is a devastating stroke subtype with high mortality and ...
INTRODUCTION: Population cancer screening detects the presence of early-stage disease rather than as...
BACKGROUND: Emergency department (ED) revisits are critical quality indicators, particularly in medi...
Cyclosporine A (CsA) functions as a calcineurin inhibitor that perturbs T cell activation via calcin...
BACKGROUND: Diseases exist on spectra of risk factors, cellular perturbations, organ dysfunction, an...
OBJECTIVES: The pathophysiology of idiopathic intracranial hypertension (IIH) is poorly understood a...
BACKGROUND: Sex-related differences in cardiomyopathy (CMP) may influence clinical presentation, dia...
Heart failure (HF) following myocardial infarction (MI) remains a major threat to health worldwide. ...
BACKGROUND: Environmental exposures are known contributors to chronic disease but are rarely incorpo...
BACKGROUND: CT-derived fractional flow reserve (CT-FFR) is a powerful tool for identifying hemodynam...
BACKGROUND: ST elevation myocardial infarction (STEMI) is a life-threatening condition, and is assoc...
BACKGROUND: Early identification of atrial fibrillation (AF) allows for timely interventions to redu...
Pulse Transit Time (PTT) is a measure of arterial stiffness and a physiological marker associated wi...
BACKGROUND: Pediatric idiopathic intracranial hypertension can be challenging to diagnose; magnetic ...
Diuretic resistance represents a major source of heterogeneity in loop diuretic response and remains...
INTRODUCTION: Cardiovascular and cerebrovascular diseases (CCVDs) pose a severe global health threat...
Delirium is a frequent and clinically consequential complication among patients admitted to the inte...
BACKGROUND: The triglyceride-glucose (TyG) index has increasingly been recognised an indicator for s...
Hepatocellular carcinoma (HCC) frequently coexists with portal hypertension, significantly increasin...
This scoping review explores how machine learning (ML) has been applied to stroke research within th...
This study explored the use of machine learning (ML) models for cardiovascular risk stratification i...