Congestive Heart Failure

Differential cardiac remodeling: patterns of cardiomyocyte morphometry in multiple patient conditions.

AIMS: Cardiac remodeling drives heart failure (HF), yet microstructural drivers in human tissue rema...

Educational Artificial Intelligence Software to Support Assessment of Atopic Dermatitis Severity.

Accurate assessment of the severity of atopic dermatitis is crucial for guiding treatment. However, ...

Cardiovascular risks of plastic-associated chemicals: Integrating mixture modeling and SHAP-explained machine learning to unravel linear and non-linear associations.

INTRODUCTION: Plastic-associated chemicals (PACs) are widely detected environmental contaminants, ye...

The Role of Circulating Polyunsaturated Fatty Acids in Atrial Fibrillation and Atrial Cardiomyopathy: A Machine Learning-Informed Structural Modelling Approach.

AIMS: Beyond their cardioprotective effects, polyunsaturated fatty acids (PUFAs) have also been link...

High Resolution Isotropic 'Pseudo' 3D Cine imaging with Automated Segmentation using Concatenated 2D Real-time Imaging and Deep Learning.

BACKGROUND: Conventional cardiovascular magnetic resonance (CMR) in pediatric and congenital heart d...

The role of artificial intelligence in the diagnosis of pericardial constriction.

PURPOSE OF REVIEW: Constrictive pericarditis is a complex disease whose distinction from clinical mi...

Soft, Multi-Wavelength Photoplethysmography Enables Reliable Neonatal Blood Pressure Monitoring Via Error Stratification.

Continuous noninvasive blood pressure monitoring is important for neonatal hemodynamic management. H...

Association Between Inflammatory Biomarkers And Carotid Ultrasound Parameters In The Northern Manhattan Stroke Study.

Inflammation contributes to atherosclerosis and vascular remodeling, but the immune pathways associa...

Artificial intelligence for the assessment of diastolic function.

PURPOSE OF REVIEW: Assessment of left ventricular diastolic function remains one of the most challen...

Large-Scale Plasma Proteomics Profiles for Predicting Atrial Fibrillation Associated Stroke Risk : Type of manuscript: Original Research.

BACKGROUND: Stroke is a major complication of atrial fibrillation (AF), and risk prediction using th...

Identifying treatment-responsive patient subgroups in a neutral clinical trial of Intensive blood pressure reduction in acute intracerebral hemorrhage: A post hoc explainable machine learning analysis.

The Antihypertensive Treatment of Acute Cerebral Hemorrhage (ATACH-2) trial reported no overall bene...

Machine Learning in Diastolic Function: From Classification to Context-Aware Decision Support.

The Future of Imaging in Heart Failure: Toward Precision Phenotyping, Integration, and Intelligence.

PURPOSE OF REVIEW: Heart failure (HF) is increasingly understood not as a single, uniformly treated ...

[Sarcoidosis-associated uveitis: Current status and future prospects].

Sarcoidosis-related uveitis is the most common manifestation of ocular sarcoidosis. It can occur at ...

Limited impact of CT-based breast tissue composition on skin toxicity, fibrosis, edema and liponecrosis prediction after moderately hypofractionated whole-breast radiotherapy.

BACKGROUND: The study assessed the role of CT-based breast tissue composition in predicting toxiciti...

Interpretable Machine Learning Model for Predicting Sepsis and Septic Shock Among Patients with Documented Fever at Emergency Department Triage Using Patients' Historical Data.

This study aimed to develop an interpretable machine learning-based scoring system for predicting se...

Atrial Fibrillation in Patients With Myocardial Infarction: Global Burden, Predictors, and Prognostic Impact.

Atrial fibrillation (AF) is the most prevalent sustained arrhythmia worldwide. Acute myocardial infa...

Low-Field Magnetic Resonance Imaging in Critical Care of Stroke.

Neurological deterioration is a frequent and clinically significant challenge in patients with acute...

Machine learning algorithms for predicting arrhythmic events in Hypertrophic Cardiomyopathy: limited enhancement beyond late gadolinium enhancement.

We aimed to develop and assess the performance of a Machine learning (ML) model integrating common c...

Interpretable machine learning for cardiovascular disease risk prediction in cancer survivors: development and internal validation.

BACKGROUND: Cardiovascular disease (CVD) is a major concern among cancer survivors. However, the int...

Explainable machine learning model for early prediction of ICU death in chronic heart failure with pulmonary infection.

OBJECTIVE: To develop and validate a machine learning model for predicting ICU mortality in CHF pati...