Congestive Heart Failure

Artificial Intelligence-Assisted MRI and CT-Based Diagnostic Anatomical Evaluation of Experimental Rat Disease Models.

Artificial intelligence (AI) emerged as the transformative technology in biomedical imaging to improve the accuracy, efficiency and reproducibility of disease diagnosis. Integration of multimodal imaging data for the automated anatomical assessment in preclinical disease models remains insufficiently explored. This study aimed to develop and validate an AI-assisted framework integrating the magnet...

Steatosis liver index: A validated machine learning model using clinical data distinguishes steatotic liver disease phenotypes.

INTRODUCTION AND OBJECTIVES: Steatotic liver disease (SLD) is a leading cause of liver disease worldwide. Itsstratified into metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-associated liver disease (MetALD), and alcohol-associated liver disease (ALD) based on self-reported alcohol use remains a challenge. We developed the Steatosis Liver Index (S...

Heterogeneous effects of preoperative beta blockers on 30-day mortality after coronary artery bypass surgery.

BACKGROUND: The role of preoperative β-blocker therapy in patients with ventricular dysfunction undergoing coronary artery bypass grafting (CABG) rema...

PVCuRe: a machine-learning based tool to predict left ventricular systolic function recovery in patients undergoing ablation for premature ventricular contraction.

BACKGROUND: Ablation of frequent premature ventricular complexes (PVCs) can improve left ventricular ejection fraction (LVEF) in patients with systoli...

Three New Transformer-based Scientific Validated Paradigms for Classification of Hypertrophic Cardiomyopathy and Acute Myocardial Infarction Patients Using Transcriptomic Gene Data on GPU cluster.

BACKGROUND AND MOTIVATION: Classification of transcriptomic gene data is essential for Cardiovascular disease (CVD) risk, particularly in Hypertrophic...

New Evidence in Heart Failure: 2026 Update.

Heart failure (HF) remains a major cause of morbidity, mortality, impaired quality of life and healthcare expenditure worldwide. The global burden of ...

Development and external validation of a contrastive learning foundation model for ECG-based prediction of cardiovascular diseases and outcomes.

BACKGROUND: Automated electrocardiogram (ECG) assessment tools to assist clinicians in diagnosis have improved substantially over the past decade; how...

Elevated pro-BNP and low-grade inflammation are associated with low bone mineral density in systemic sclerosis, a case control study.

BACKGROUND: Bone mineral density (BMD) is compromised in patients with systemic sclerosis (SSc) compared to the background population, yet the underly...

A novel convolution-transformer model for differentiating hypertrophic cardiomyopathy from Phenocopies using cardiac MRI.

BACKGROUND AND OBJECTIVES: Hypertrophic Cardiomyopathy (HCM) is the most prevalent inherited cardiomyopathy. Its left ventricular hypertrophy (LVH) ph...

Prognostic Value of Artificial Intelligence ECG-Derived Diastolic Function in Surgical Aortic Valve Replacement.

BACKGROUND: Diastolic dysfunction is common in patients with aortic stenosis and may influence outcomes following surgical aortic valve replacement. W...

Myocardial Fibrosis in Pediatric Heart Disease: Mechanisms, Imaging Biomarkers, Clinical Consequences, and Emerging Antifibrotic Therapies.

Myocardial fibrosis is increasingly recognized as a central determinant of adverse cardiac remodeling and long-term cardiovascular outcomes in childre...

Personalized evaluation of NT-proBNP and clinical characteristics in suspected heart failure: the PRECISE-HF study.

BACKGROUND AND AIMS: N-terminal pro-B-type natriuretic peptide (NT-proBNP) is recommended to guide echocardiography referral in community-based patien...

Machine Learning-Driven Risk Prediction Model in Transthyretin Amyloid Cardiomyopathy.

IMPORTANCE: Transthyretin cardiac amyloidosis (ATTR-CM) is associated with poor prognosis and significant morbidity and mortality, yet existing stagin...

Electrocardiogram-Based Deep Learning to Prioritize Testing for Transthyretin Amyloid Cardiomyopathy.

IMPORTANCE: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a treatable cause of heart failure, but diagnosis is often delayed. Accessible tools to ...

Differential Diagnosis of Asthma and COPD: Established and Emerging Biomarkers and Technologies.

Asthma and chronic obstructive pulmonary disease (COPD) represent the two most prevalent chronic respiratory conditions worldwide, affecting hundreds ...

Machine learning-based prediction model for predicting the impact of insulin resistance on the risk of ischemic cardiomyopathy.

BACKGROUND: The triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceride glucose-body mass (TyG-BMI) index are reliable ...

Identification of Vital Genes Common to Dilated and Hypertrophic Cardiomyopathy Using Machine Learning and Bioinformatics.

BACKGROUND: Heart failure (HF) is a complex clinical syndrome and a leading cause of hospitalization and mortality worldwide, with significantly incre...

Artificial Intelligence to Unmask LVOT Obstruction in Hypertrophic Cardiomyopathy.

Reinventing the echocardiography workflow: from manual quantification to artificial intelligence-driven comprehensive interpretation.

Echocardiography remains the cornerstone of cardiovascular imaging. However, traditional workflows including manual acquisition, sequential measuremen...

The metabolic-inflammatory axis in chronic heart failure: integrating the NLR and TyG index for recent-onset atrial fibrillation prediction via machine learning and mediation analysis.

INTRODUCTION: Recent-onset atrial fibrillation (AF) is a common complication of chronic heart failure (CHF), potentially involving both inflammatory a...