Latest AI and machine learning research in hypertension for healthcare professionals.
INTRODUCTION: The head-up tilt table test (HUTT) is a lengthy and uncomfortable procedure for patients which often induces fainting. Post-transient loss of consciousness, nausea, vomiting, and pallor may occur. This study aims to develop and evaluate the efficacy of anomaly detection methods based on autoencoding for early prediction of syncope onset, enabling preemptive HUTT termination and there...
Systemic hypertension (HTN) is a major cardiovascular comorbidity in patients with obstructive sleep apnea (OSA), yet these conditions are often diagnosed and managed independently, limiting integrated cardiovascular risk assessment. There is a significant gap in scalable automated frameworks for the screening of hypertension using routinely collected polysomnography (PSG) signals. To address this...
BACKGROUND: Hemorrhagic transformation (HT) is a major complication of acute ischemic stroke (AIS), especially after mechanical thrombectomy (MT) and ...
OBJECTIVE: This study focuses on a non-invasive blood pressure prediction method based on radial artery pulse wave feature analysis, aiming to achieve...
The diagnosis of heart failure (HF) is resource-intensive, leading to severe underdiagnosis. This study proposes the use of a deep learning model to d...
BACKGROUND: Hypertension is a major cause of death and disability, and undiagnosed cases are particularly dangerous as they can cause severe damage wi...
Dilated cardiomyopathy (DCM) is a clinically heterogeneous cardiac disorder characterized by ventricular dilation and systolic dysfunction, with limit...
BACKGROUND: Gestational diabetes mellitus (GDM) affects 15-25% of pregnancies worldwide and poses serious risks of macrosomia, preeclampsia, neonatal ...
BACKGROUND: Intracranial hypertension is a life-threatening complication of acute brain injuries such as traumatic brain injury (TBI), subarachnoid he...
BACKGROUND: Pediatric heart failure (PHF) carries a high mortality burden, yet the prognostic value of admission blood pressure (BP) remains poorly de...
Although many predictive models for metabolic dysfunction-associated steatotic liver disease (MASLD) have been developed, their performance remains su...
Wearable technologies have the potential to transform ambulatory and at-home hemodynamic monitoring by providing continuous assessments of cardiovascu...
BACKGROUND: Understanding whether commonly available metabolic, demographic, and behavioral factors can explain variability in brain structure may sup...
Hypertension is a modifiable risk factor for cardiovascular disease (CVD) and its prevalence is high in the United States and worldwide. Adequate char...
AIMS: To evaluate whether predominantly peripheral lesions (PPLs) and other imaging biomarkers on ultra-widefield (UWF) photography can predict the pr...
Red blood cell distribution width (RDW)-derived indicators have increasingly been recognized as biomarkers reflecting systemic inflammation and hemato...
BACKGROUND: Lean metabolic dysfunction-associated fatty liver disease (MAFLD) is increasingly recognized but often goes unnoticed during health checku...
BACKGROUND: The rising incidence of youth-onset type 2 diabetes mellitus (T2DM), along with the risk of early cardiovascular complications, is concern...
Hypertrophic cardiomyopathy (HCM) is the most prevalent genetic cardiac disease and a leading cause of heart failure, arrhythmia, and sudden cardiac d...
With aging, left ventricular (LV) early diastolic lengthening declines. Delayed or dyssynchronous untwisting and relaxation may slow and reduce fillin...