Cardiovascular

Cardiac CT for electrophysiological interventions.

Cardiac computed tomography (CCT) holds an important role in the field of electrophysiology offering...

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...

Artificial Intelligence for Risk Stratification of Acute Pulmonary Embolism: Perspectives on Clinical Needs, Expanding Toolkit, and Pathways Forward.

Despite a significant number of innovations for management of acute pulmonary embolism (PE) over the...

A noninvasive method for determining elastic parameters of valve tissue using physics-informed neural networks.

Computer simulation of "virtual interventions" may inform optimal valve repair for a given patient p...

Two birds with one stone: pre-TAVI coronary CT angiography combined with FFR helps screen for coronary stenosis.

OBJECTIVES: Since coronary artery disease (CAD) is a common comorbidity in patients with aortic valv...

A pediatric ECG database with disease diagnosis covering 11643 children.

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

Segmentation of the Left Ventricle and Its Pathologies for Acute Myocardial Infarction After Reperfusion in LGE-CMR Images.

Due to the association with higher incidence of left ventricular dysfunction and complications, segm...

ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction.

OBJECTIVE: In this paper we develop and evaluate ECG-SMART-NET for occlusion myocardial infarction (...

Comparison of seven machine learning models in hypertension classification using photoplethysmographic and anthropometric data.

This study presents an algorithm for classifying individuals into four hypertension categories (heal...

The Emerging Role of Computed Tomography Coronary Angiography in the Left Main Stem Percutaneous Coronary Intervention.

Recent advancements in computed tomography have significantly transformed the clinical application o...

Advancements in Biomarkers for Early Detection and Risk Stratification of Cardiovascular Diseases-A Literature Review.

INTRODUCTION: CVDs is a leading cause of morbidity, mortality, and healthcare expenditure worldwide....

Artificial intelligence-derived coronary plaque features predict incident acute ischaemic stroke independent of cardioembolic risk factors.

AI-Based Predictive Models for Cardiogenic Shock in STEMI: Real-World Data for Early Risk Assessment and Prognostic Insights.

Cardiogenic shock (CS) is a life-threatening complication of ST-elevation myocardial infarction (ST...

Predicting Mortality in Atrial Fibrillation Patients Treated with Direct Oral Anticoagulants: A Machine Learning Study Based on the MIMIC-IV Database.

Atrial fibrillation (AF) is a common arrhythmia linked to increased mortality and significant healt...

Sex-related differences and associated transcriptional signatures in the brain ventricular system and cerebrospinal fluid development in full-term neonates.

BACKGROUND: The cerebrospinal fluid (CSF) is known to serve as a unique environment for neurodevelop...

Inorganic Biomaterials Inducing Scaffolds Pre-Neuralization for Infarcted Myocardium Repair.

Neural networks are found to play an important role in monitoring and coordinating cardiac physiolog...

Deep learning reconstruction combined with contrast-enhancement boost in dual-low dose CT pulmonary angiography: a two-center prospective trial.

PURPOSE: To investigate whether the deep learning reconstruction (DLR) combined with contrast-enhanc...

Predictive machine learning model for 30-day hospital readmissions in a tertiary healthcare setting.

MOTIVATION: Hospital readmissions represent a major challenge for healthcare systems due to their im...

Diagnostic and prognostic value of ECG-predicted hypertension-mediated left ventricular hypertrophy using machine learning.

OBJECTIVE: Four hypertension-mediated left ventricular hypertrophy (LVH) phenotypes have been report...

Deep Learning-Based Aortic Diameter Measurement in Traumatic Hemorrhage Using Shallow Attention Network: A Path Forward.

The accurate assessment of aortic diameter (AoD) is essential in managing patients with traumatic h...

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...