Latest AI and machine learning research in hypertension for healthcare professionals.
BACKGROUND: Coronary artery disease (CAD) progression has been examined mainly in cohorts enriched f...
Assessment of left ventricular diastolic function is inherently complex, yet it must be sufficiently...
Advanced preventive strategies are needed to decrease the burden of cardiovascular disease (CVD). We...
The properties of functional brain networks are an important determinant of cognitive function in ag...
OBJECTIVES: To systematically evaluate the predictive accuracy of computed tomography (CT)-based art...
PURPOSE: Hypertensive disorders in pregnancy (HDP) affect 16% of births in the United States. In thi...
BACKGROUND: The clinical value of artificial intelligence (AI)-based diagnostic systems depends not ...
Wearable devices enable electrocardiograms (ECGs) outside traditional healthcare settings. While the...
This study aimed to develop machine learning models to predict postoperative acute kidney injury (AK...
INTRODUCTION: The head-up tilt table test (HUTT) is a lengthy and uncomfortable procedure for patien...
Systemic hypertension (HTN) is a major cardiovascular comorbidity in patients with obstructive sleep...
BACKGROUND: Hemorrhagic transformation (HT) is a major complication of acute ischemic stroke (AIS), ...
OBJECTIVE: This study focuses on a non-invasive blood pressure prediction method based on radial art...
The diagnosis of heart failure (HF) is resource-intensive, leading to severe underdiagnosis. This st...
BACKGROUND: Hypertension is a major cause of death and disability, and undiagnosed cases are particu...
Dilated cardiomyopathy (DCM) is a clinically heterogeneous cardiac disorder characterized by ventric...
BACKGROUND: Gestational diabetes mellitus (GDM) affects 15-25% of pregnancies worldwide and poses se...
BACKGROUND: Intracranial hypertension is a life-threatening complication of acute brain injuries suc...
BACKGROUND: Pediatric heart failure (PHF) carries a high mortality burden, yet the prognostic value ...
Wearable technologies have the potential to transform ambulatory and at-home hemodynamic monitoring ...
BACKGROUND: Understanding whether commonly available metabolic, demographic, and behavioral factors ...