Hypertension

Comparative analysis of machine learning techniques for cardiovascular disease prediction.

BACKGROUND AND OBJECTIVES: Early and accurate prediction of cardiovascular disease (CVD) is fundamental for reducing morbidity and mortality. Machine learning (ML) algorithms provide a data-driven, actionable foundation to strengthen clinical decision-making and enable more precise risk stratification. The purpose of this study is to identify the most significant risk factors for CVD and to compar...

Evaluating sex bias in artificial intelligence-based echocardiographic analysis: a retrospective study on individuals with normal cardiac function and patients with systolic and diastolic dysfunction.

BACKGROUND: Artificial intelligence (AI) has the potential to improve echocardiography. However, AI systems may exhibit sex bias, reproducing societal stereotypes and performing worse for certain groups, potentially leading to unequal healthcare outcomes. Therefore, the aim of this study was to investigate whether there are sex-related differences in the agreement between a fully automated AI-base...

The role of dataset integrity, calibration and signal quality in neural network-based blood pressure estimation.

Cuffless blood pressure (BP) estimation via photoplethysmography (PPG) and machine learning has been widely studied, yet reported accuracy remains bel...

Construction of an associative model for prolonged intensive care unit stay in sepsis patients combined with myocardial injury.

OBJECTIVE: This study aimed to identify the factors contributing to Prolonged Length of Stay (PLOS) in intensive care units for sepsis patients combin...

Comprehensive review of chronic kidney disease molecular biomarkers: Clinical significance, human health impact, and emerging diagnostic strategies.

Chronic Kidney Disease (CKD) is a global public health crisis, affecting over 800 million people worldwide. Driven primarily by diabetes and hypertens...

Artificial Intelligence-Enabled Electrocardiography for Monitoring Serum Potassium Dynamics in Patients With Severe Hypokalemia.

RATIONALE & OBJECTIVE: Severe hypokalemia requires prompt management and close surveillance. Although artificial intelligence-enabled electrocardiogra...

AI-Derived Score to Predict Effort Intolerance and Adverse Outcome across the Heart Failure Spectrum.

AIMS: To develop and externally validate an artificial intelligence (AI)-driven model to predict effort intolerance (i.e., peak oxygen uptake [VO₂] <1...

CURL-AID: Automated Echocardiographic Motion Analysis for Quantitative Assessment of Posterior Systolic Curling.

OBJECTIVE: Posterior systolic curling (PSC) is a morphofunctional abnormality of the posterior mitral annulus associated with malignant ventricular ar...

Machine learning-based prediction of postoperative restenosis risk following direct repair of paediatric coarctation of the aorta.

OBJECTIVES: Coarctation of the aorta is a congenital cardiovascular disease with focal aortic luminal narrowing, and paediatric patients face a high p...

The Pediatric Pulmonary Hypertension International Risk Score: A Prediction Model for Outcomes Using Machine Learning.

BACKGROUND: Risk prediction is fundamental to pulmonary hypertension (PH) guideline-based care, yet pediatric-specific risk prediction models remain l...

Machine Learning-Assisted Prediction of Varicocele Grade Using Multidimensional Spermatic Vein Reflux Time Analysis.

BACKGROUND: Varicocele (VC) grading has long relied on qualitative assessments of venous diameter and reflux signals, lacking standardization. OBJECTI...

Utility of ECG-Vision for Surveillance of Left Ventricular Dysfunction in Patients With Hypertrophic Cardiomyopathy Initiated on Mavacamten.

BACKGROUND: Frequent transthoracic echocardiograms (TTEs) are required to monitor for left ventricular systolic dysfunction (LVSD) in patients with ob...

Value of the 12-lead ECG to localize the origin of ventricular tachycardia.

The 12-lead electrocardiogram (ECG) recorded during ventricular tachycardia (VT) remains a simple, universally available tool for VT localization. In ...

Apolipoprotein M: A liver-derived lipid-binding protein protects against heart failure with preserved ejection fraction by inhibiting TGF-β signaling.

BACKGROUND: Visceral and hepatic adiposity and associated inflammation are recognized as prominent features of heart failure (HF) with preserved eject...

A Cross-Sectional Analysis of Vascular Geometry in Adults: Associations of Age and Biological Sex with Iliofemoral Arterial and Venous Tortuosity.

Iliofemoral vascular tortuosity may reflect vascular aging, yet natural anatomic variation remains poorly characterized at scale. In this single-cente...

Machine learning-derived clinical phenotypes of ascites in cirrhosis: A multi-center latent class analysis with external validation.

BACKGROUND: Ascites development in cirrhosis reduces five-year survival from 80% to 30%, yet substantial heterogeneity exists among patients with comp...

Prediction of Incident Atrial Fibrillation and Association With Outcomes Using Routine Electronic Health Records in a Western Pacific Population.

BACKGROUND AND AIM: Atrial fibrillation (AF) affects over 37 million people internationally and confers increased risk of cardiovascular conditions. P...

A study on risk factors for the progression from T2DM to end-stage renal disease based on Mendelian randomization and logistic regression analysis.

Using two-sample Mendelian randomization (MR) based on GWAS data from the IEU OpenGWAS project and a retrospective clinical cohort, this study investi...

Machine Learning Classification of Prevalent Chronic Disease Using Multidimensional Social, Behavioral, and Psychological Determinants: A Cross-Sectional Analysis of the 2024 National Health Interview Survey.

BACKGROUND: Chronic diseases account for approximately 90% of the $4.5 trillion annual healthcare expenditure in the United States. While traditional ...

Free-living amoebae predation in nutrient-enriched treated wastewater: ecological potential and machine learning-assisted analysis.

Rapid population growth has intensified pressure on freshwater (FW) resources, significantly impacting agricultural practices and worsening food scarc...