Latest AI and machine learning research in hypertension for healthcare professionals.
BACKGROUND: Visit-to-visit blood pressure variability has been associated with cardiovascular outcomes; however, its role in predicting severe blood pressure (BP) elevation requiring emergency department care remains uncertain. We investigated whether long-term systolic blood pressure variability independently predicts severe BP elevation and evaluated externally validated prediction models. METHO...
In real-world graphs, node attributes are often incomplete due to acquisition costs or privacy restrictions, reducing representation quality and harming downstream predictions in graph neural networks (GNNs). A common remedy is feature-propagation-based imputation. However, cold-start effects arising from attribute resetting and low-degree nodes impede effective propagation and convergence in thes...
OBJECTIVE: This study contributes to the limited literature on applying machine learning (ML) to telemonitoring data for timely decision support syste...
BACKGROUND: Measuring mitral annular plane systolic excursion (MAPSE) serially in a single wall may be an effective method for monitoring global left ...
OBJECTIVES: To predict siesta behavior using machine learning models trained on self-reported and objective data-temperature (T), activity (A), positi...
Mediation analysis decomposes the causal effect of a treatment on an outcome into an indirect effect, mediated through intermediate variables, and a d...
INTRODUCTION: Control of blood pressure (BP) continues to be a challenge globally. Clinical trials have shown home BP monitoring and text-message inte...
Background: Pressure-volume (PV) loop analysis remains the gold standard for assessing the intrinsic global diastolic properties of the left ventricle...
Left-ventricular (LV) ejection fraction (LVEF) is a fundamental measure of cardiac function, typically assessed with resource-intensive imaging techni...
OBJECTIVES: Reliable, accessible, noninvasive self-assessment screening for prediabetes/diabetes is lacking, leading to missed opportunities for early...
Chronic heart failure (CHF) patients often present with heterogeneous patterns of cardiac dyssynchrony. Although QRS prolongation (>150 ms) and left b...
The increasing volume of geriatric surgical procedures presents a critical challenge: protecting the aging brain from perioperative complications such...
BACKGROUND: Regular assessment of exercise tolerance is essential for managing COPD, nevertheless, the standard 6-Minute Walk Test (6MWT) is difficult...
This study aimed to develop a prediction model based on nomograms and support vector machines (SVM) to assess frailty risk in ischemic stroke patients...
OBJECTIVES: To investigate the association between quantitative retinal vascular parameters and coronary artery disease (CAD) and to evaluate the effi...
Pulmonary hypertension (PH) is a severe and oftentimes fatal disease with a high degree of clinical variability. Its complexity necessitates a multifa...
BACKGROUND AND AIMS: The identification of prefrailty, a reversible state of vulnerability in older adults, remains a clinical challenge. Arterial sti...
OBJECTIVE: A significant residual risk of myocardial infarction (MI) persists in hypertensive patients treated with angiotensin receptor blockers (ARB...
Systemic sclerosis (SSc) is a connective tissue disease frequently complicated by pulmonary arterial hypertension (PAH), a leading cause of morbidity ...
Excellent performance has been achieved on medical image segmentation. Still, existing algorithms perform relatively poorly for annular objects with h...