Arrhythmias

Comparative outcomes of balloon-expandable versus self-expanding transcatheter aortic valves: insights from a large-scale German registry.

BACKGROUND: While transcatheter aortic valve replacement (TAVR) has become an established alternative to surgical aortic valve replacement (SAVR), the comparative outcomes of balloon-expandable (BE) and self-expanding (SE) valve technologies remain an area of ongoing investigation. METHODS: Using the German DESTATIS database, we analyzed 48,565 transfemoral TAVR procedures performed between 2021 a...

AI-ECG Detection of Structural Heart Disease in the Community Setting: Transportability and Spectrum Effects in the PREVUE-VALVE Study.

BACKGROUND: Artificial intelligence (AI) diagnostic models are typically developed in hospital-based populations enriched for disease prevalence and severity, where distinctions between health and disease are pronounced. When deployed in community-dwelling populations with lower prevalence and milder phenotypes, these distinctions may become less well-defined, raising questions about transportabil...

HRV-anchored autonomic-morphological structured factorization for interpretable multimodal cardiovascular risk prediction.

Cardiovascular risk prediction from heterogeneous physiological signals supports early warning in bedside and wearable monitoring, where ECG, PPG, HRV...

Fundamentals of Pulsed Field Ablation at the Individual Cardiomyocyte Level.

BACKGROUND: Pulsed Field Ablation (PFA) is a rapidly adopted catheter ablation method employing high-voltage pulses to treat cardiac arrhythmias by ca...

Development and External Validation of an AI-ECG Algorithm for Estimating Elevated Serum NT-proBNP Levels.

BACKGROUND: N-terminal pro-B-type natriuretic peptide (NT-proBNP) is a cornerstone biomarker for the diagnosis and management of heart failure, but it...

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...

The electrocardiogram and artificial intelligence: turning signals into insights in pediatric and congenital heart disease.

PURPOSE OF REVIEW: Artificial intelligence applied to electrocardiography (AI-ECG) has rapidly been investigated in adult cardiovascular medicine, yet...

Left Atrial Reservoir Strain Improves Sudden Cardiac Death Risk Stratification in Hypertrophic Cardiomyopathy.

BACKGROUND: Current risk scores for sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HCM) have limited ability to identify high-risk subgrou...

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...

Opportunistic Screening for Chagas Disease Using an Artificial Intelligence-Enabled ECG: Prospective Evaluation of Feasibility and Diagnostic Accuracy.

BACKGROUND: Chagas disease (ChD), a neglected cardiovascular condition, affects 7.5 to 10.5 million people worldwide. Opportunistic screening during r...

Letter by Li et al Regarding Article, "Deep Learning-Based Continuous QT Monitoring to Identify High-Risk Prolongation Events After Class III Antiarrhythmic Initiation".

Response by Rogers et al to Letter Regarding, "Deep Learning-Based Continuous QT Monitoring to Identify High-Risk Prolongation Events After Class III Antiarrhythmic Initiation".

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 ...

A multi-band spatial asymmetry convolutional neural network for EEG-based emotion recognition.

Emotion recognition is an important component for enabling machines to perceive and respond to human emotions. Existing electroencephalogram (EEG)-bas...

Enhancing cardiovascular disease diagnosis through knowledge distillation and hybrid Transformer-CNN-SENet architecture.

Worldwide, cardiovascular diseases (CVDs) are the leading cause of mortality, making early detection a critical public health objective. The analysis ...

Conversational artificial intelligence HeAlth supporT in Atrial Fibrillation Self-Management (CHAT-AF-S): rationale and randomised controlled trial design.

INTRODUCTION: Atrial fibrillation (AF), a common arrhythmia, is associated with impaired quality of life and increased stroke risk and mortality. Clin...

Assessment and validation of the established free-running framework for cardiac function by magnetic resonance imaging at 1.5T (FAST-CMR): an international multi-center, multi-vendor study.

BACKGROUND: Cardiovascular magnetic resonance (CMR) is the reference standard for assessing cardiac function, yet its widespread clinical use remains ...

Explainable temporal machine learning of multimorbidity trajectories after acute myocardial infarction: complementing clinical risk scores with mechanistic phenotypes.

OBJECTIVE: This study aimed to identify trajectories of multimorbidity following acute myocardial infarction (AMI), using explainable temporal machine...

An autonomous multimodal AI agent for evidence-grounded ophthalmic diagnosis.

Multimodal ophthalmic diagnosis requires integrating fundus photography, B-scan ultrasonography, and medical evidence, yet most artificial intelligenc...