Cardiovascular

Arrhythmias

Latest AI and machine learning research in arrhythmias for healthcare professionals.

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Showing 232-252 of 2,489 articles
Rethinking prediction of sudden cardiac arrest: The role of electrocardiography in forecasting low-incidence, high-consequence events.

Sudden cardiac arrest (SCA) remains a leading cause of mortality, accounting for 300,000-400,000 dea...

(1)
Jun 2026 42364311
Serial AI-Enabled Electrocardiogram Trajectories During Heart Failure Treatment: A Proof-of-Concept Case Series.

BACKGROUND: Artificial intelligence-enabled electrocardiogram (AI-ECG) detects left ventricular syst...

(1)
Jun 2026 42347720
Prediction of cardiac arrest in patients with heart failure in Sweden: a registry study with development of a machine learning model.

OBJECTIVE: 30-day survival after cardiac arrest is low, 12.4% and 36% for out-of-hospital and in-hos...

(2)
Jun 2026 42350023
Advancing cardiac health assessment using deep convolutional neural networks for ECG image analysis.

This research introduces a novel technique for early prediction of cardiac affliction in ECG imagery...

Jun 2026 42339746
An ECG biomarker for sudden cardiac death discovered with deep learning.

Sudden cardiac death is, in theory, preventable with defibrillators. But every year, many patients d...

Jun 2026 42343137
Efficacy and safety of multiple treatments for small hepatocellular carcinoma: an updated systematic review and component network meta analysis.

BACKGROUND: This is an updated component network meta-analysis to evaluate efficacy and safety of va...

Jun 2026 42382132
CaReS-BiNet: A multi-scale deep learning framework for ECG arrhythmia classification.

Automated electrocardiogram (ECG) arrhythmia classification remains challenging due to morphological...

Jun 2026 42336980
Automatic measurement of vertebral compression ratio on lumbar MR images fracture assessment based on MS-Res-AttU-Net model framework.

OBJECTIVES: To develop an MS-Res-AttU-Net-based deep learning framework for automatic measurement of...

Jun 2026 42329185
Cardiometabolic multimorbidity and atrial fibrillation: insights from traditional statistical and artificial intelligence approaches.

BACKGROUND: Cardiometabolic multimorbidity (CMM) is increasingly prevalent among patients with atria...

(1)
Jun 2026 42332627
Wearable devices for atrial fibrillation: diagnostic and screening roles of ECG and PPG-A systematic review.

OBJECTIVE: Atrial fibrillation (AF) is a major predictor of heart failure, stroke, and mortality. Tr...

Jun 2026 42332956
Few-shot ECG analysis with large vision language models in data-scarce clinical settings.

Electrocardiogram (ECG) interpretation is fundamental for cardiac diagnosis. Machine learning has pr...

Jun 2026 42330857
Artificial intelligence and the evolution of the electrocardiogram: from cardiovascular diagnostic tool to digital biomarker.

The electrocardiogram (ECG) is a cornerstone of cardiovascular care. Traditionally, it has relied on...

Jun 2026 42529777
Towards optimal valve prescription for transcatheter aortic valve replacement (TAVR) surgery: a machine learning approach.

Transcatheter Aortic Valve Replacement (TAVR) has emerged as a prominent, minimally invasive treatme...

(1)
Jun 2026 42322448
MSCA-TNet based deep learning method for ECG arrhythmia classification.

Electrocardiography (ECG) is a widely adopted modality for monitoring cardiac rate and rhythm and id...

(3)
Jun 2026 42321363
Modeling day-long ECG signals to predict heart failure risk with explainable AI.

Heart failure (HF) affects 11.8% of adults aged 65 and older, reducing quality of life and longevity...

Jun 2026 42321372
A self-supervised learning framework with hierarchical residual cross fusion network for sleep apnea detection.

Sleep apnea is a common but frequently underdiagnosed respiratory disorder that poses serious health...

Jun 2026 42330731
Integrative multi-modal feature extraction from ECG signals using FusionHeartNet for robust heart disease prediction.

Electrocardiogram (ECG)-based diagnostics are pivotal in early cardiac disorder detection, yet exist...

Jun 2026 42312446
The AI dispatcher copilot: beyond cardiac arrest recognition to dynamic large language model-assisted Tele-CPR.

AIM: Out-of-hospital cardiac arrest (OHCA) remains a leading cause of death. Although emergency medi...

Jun 2026 42314898
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