Congestive Heart Failure

Artificial intelligence-enhanced electrocardiogram diastolic function grade predicts post-septal myectomy mortality in hypertrophic cardiomyopathy.

BACKGROUNDS: Diastolic dysfunction is an important pathophysiologic feature of hypertrophic cardiomy...

High burden of premature ventricular contractions upregulates transcriptional markers of inflammation and promotes adverse cardiac remodeling linked to cardiomyopathy.

Premature ventricular contractions (PVCs) are the most prevalent ventricular arrhythmia in adults. H...

Mechanistic exploration of hexokinase 2 and metabolism in diabetic cardiomyopathy.

The pathogenesis of diabetic cardiomyopathy (DCM) remains incompletely understood. The present study...

Effectiveness of Digital Health Interventions for Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-Analysis.

BACKGROUND: Chronic obstructive pulmonary disease (COPD), marked by dyspnea, cough, and sputum produ...

A pediatric ECG database with disease diagnosis covering 11643 children.

Electrocardiogram (ECG) is a common non-invasive diagnostic tool for cardiovascular diseases. Adequa...

ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks.

Arrhythmia classifiers relying on supervised deep learning models usually require a substantial amou...

Automated detection of severe cerebral edema using explainable deep transfer learning after hypoxic ischemic brain injury.

BACKGROUND: Substantial gaps exist in the neuroprognostication of cardiac arrest patients who remain...

Highlights of the Society for Cardiovascular Magnetic Resonance (SCMR) 2025 Conference: leading the way to accessible, efficient and sustainable CMR.

The 28th Annual Scientific Sessions of the Society for Cardiovascular Magnetic Resonance (SCMR) took...

When is imaging needed to assess the response to treatment in cardiac amyloidosis.

PURPOSE OF REVIEW: Cardiac amyloidosis is characterized by systolic and diastolic abnormalities due ...

Induced Pluripotent Stem Cells in Cardiomyopathy: Advancing Disease Modeling, Therapeutic Development, and Regenerative Therapy.

Cardiomyopathies are a heterogeneous group of heart muscle diseases that can lead to heart failure, ...

Imbalanced feature generation based on bootstrap power spectral curve for estimating respiratory rate.

Rapid respiratory rate (RR) changes in older adults may indicate serious illness. Therefore, accurat...

Exploring the Role of Peritumoral Edema in Predicting Lung Cancer Subtypes Through T2-FLAIR Digital Subtraction Imaging of Metastatic Brain Tumors.

: This study aimed to investigate whether small-cell lung cancer (SCLC) and non-small-cell lung canc...

Risk tools for predicting long-term sequelae based on symptom profiles after known and undetected SARS-CoV-2 infections in the population.

The aim was to determine the profile of long-term symptoms after known and undetected SARS-CoV-2 inf...

State of the Art on Inherited Retinal Dystrophies: Management and Molecular Genetics.

Inherited retinal dystrophies (IRDs) represent a group of heterogeneous disorders caused by gene mut...

Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery stroke.

In treating malignant cerebral edema after a large middle cerebral artery stroke, clinicians need qu...

T2D-LVDD: neural network-based predictive models for left ventricular diastolic dysfunction in type 2 diabetes.

Cardiovascular disease complications are the leading cause of morbidity and mortality in patients wi...

Identification of Fatty Acid Metabolism Disorder-Related Gene Signature in Septic Cardiomyopathy.

BACKGROUND: Septic cardiomyopathy (SCM) is a prevalent complication of sepsis and a primary contribu...

Cardiovascular imaging in 2024: review of current research and innovations.

Cardiovascular imaging saw significant advancements in 2024, impacting technology, pathophysiology, ...

Utility of convolutional neural network-enhanced electrocardiogram to diagnose and predict mitral regurgitation in patients with chronic atrial fibrillation.

A convolutional neural network (CNN)-enhanced electrocardiogram (ECG) has been reported for detectin...

Proteomic-based biomarker discovery reveals panels of diagnostic biomarkers for early identification of heart failure subtypes.

BACKGROUND: Limited access to echocardiography can delay the diagnosis of suspected heart failure (H...

Electrocardiographic parameter profiles for differentiating hypertrophic cardiomyopathy stages.