Cardiovascular

Hypertension

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

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Visit-to-visit systolic blood pressure variability and risk of severe hypertensive episodes in a multicenter cohort.

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...

Apr 20 2026 42011096

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold-Start Mitigation in Attribute Missing Graphs.

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...

Apr 16 2026 41989894
Decision support systems (DSS) for predicting hypertensive events using real-world telemonitoring data.

OBJECTIVE: This study contributes to the limited literature on applying machine learning (ML) to telemonitoring data for timely decision support syste...

Apr 14 2026 42024998
Automatic monitoring of single-wall MAPSE by transesophageal echocardiography for tracking global left ventricular function irrespective of regional hypokinesia: a secondary analysis.

BACKGROUND: Measuring mitral annular plane systolic excursion (MAPSE) serially in a single wall may be an effective method for monitoring global left ...

Apr 14 2026 41979780
Objective prediction of siesta based on machine learning and association with obesity.

OBJECTIVES: To predict siesta behavior using machine learning models trained on self-reported and objective data-temperature (T), activity (A), positi...

Apr 9 2026 41963146
Causal mediation analysis with one or multiple mediators: A comparative study.

Mediation analysis decomposes the causal effect of a treatment on an outcome into an indirect effect, mediated through intermediate variables, and a d...

Apr 9 2026 41955059
DIA-PINN. A physics-informed machine learning method to estimate global intrinsic diastolic chamber properties of the left ventricle from pressure-volume data.

Background: Pressure-volume (PV) loop analysis remains the gold standard for assessing the intrinsic global diastolic properties of the left ventricle...

Apr 9 2026 41956567
Personalized artificial intelligence based left ventricular ejection fraction and systolic dysfunction assessment.

Left-ventricular (LV) ejection fraction (LVEF) is a fundamental measure of cardiac function, typically assessed with resource-intensive imaging techni...

Apr 8 2026 41951962
Enhancing prediabetes and diabetes detection through a machine learning-enabled self-assessment approach.

OBJECTIVES: Reliable, accessible, noninvasive self-assessment screening for prediabetes/diabetes is lacking, leading to missed opportunities for early...

Apr 6 2026 41950976
Determinants of LV Myocardial Dyssynchrony in CHF: Impact of Mechanical and Electrical Dyssynchrony.

Chronic heart failure (CHF) patients often present with heterogeneous patterns of cardiac dyssynchrony. Although QRS prolongation (>150 ms) and left b...

Apr 6 2026 41951136
Transcranial Doppler ultrasonography in geriatric anesthesia: moving toward personalized brain protection strategies.

The increasing volume of geriatric surgical procedures presents a critical challenge: protecting the aging brain from perioperative complications such...

Apr 6 2026 41937410
A novel machine learning model of smartphone-based 1-minute sit-to-stand test for prediction of six-minute walk test distance in patients with COPD.

BACKGROUND: Regular assessment of exercise tolerance is essential for managing COPD, nevertheless, the standard 6-Minute Walk Test (6MWT) is difficult...

Apr 3 2026 41934783
Prediction model for frailty risk in ischemic stroke patients: Application and validation of support vector machines and nomograms.

This study aimed to develop a prediction model based on nomograms and support vector machines (SVM) to assess frailty risk in ischemic stroke patients...

Apr 3 2026 41931357
Retinal vascular phenotyping for early detection of coronary artery disease: quantitative assessment and diagnostic modelling.

OBJECTIVES: To investigate the association between quantitative retinal vascular parameters and coronary artery disease (CAD) and to evaluate the effi...

Apr 2 2026 41927291
The Role of Machine Learning and Artificial Intelligence in Drug Discovery and Clinical Care of Pulmonary Hypertension.

Pulmonary hypertension (PH) is a severe and oftentimes fatal disease with a high degree of clinical variability. Its complexity necessitates a multifa...

Apr 1 2026 42309629
Arterial pulse harmonic alterations: a novel biomarker linking vascular dysfunction to prefrailty.

BACKGROUND AND AIMS: The identification of prefrailty, a reversible state of vulnerability in older adults, remains a clinical challenge. Arterial sti...

Apr 1 2026 41932586
Interpretable deep learning with pharmacogenomics predicts myocardial infarction in angiotensin receptor blocker treated hypertension.

OBJECTIVE: A significant residual risk of myocardial infarction (MI) persists in hypertensive patients treated with angiotensin receptor blockers (ARB...

Apr 1 2026 42052888
Echocardiographic Evaluation of Global Cardiac Function in Systemic Sclerosis-Associated Pulmonary Arterial Hypertension: An Integrated Review of Parameters and Techniques.

Systemic sclerosis (SSc) is a connective tissue disease frequently complicated by pulmonary arterial hypertension (PAH), a leading cause of morbidity ...

Apr 1 2026 41920574
Annular Prior Prompt Learning for Medical Images Segmentation.

Excellent performance has been achieved on medical image segmentation. Still, existing algorithms perform relatively poorly for annular objects with h...

Apr 1 2026 40938711
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