Cardiovascular

Arrhythmias

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

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Showing 400-420 of 2,489 articles
Deep Learning-based Segmentation for Assessment of Kidney Tumour Ablation Therapy in CT Images.

Kidney tumor ablation is a minimally invasive treatment for Renal Cell Carcinoma (RCC). Manual segme...

Apr 2026 41941787
Deep Learning Driven Evaluation of MR-guided Focused Ultrasound Ablation.

OBJECTIVE: Magnetic resonance-guided focused ultrasound (MRgFUS) thermal therapy is a promising inci...

Apr 2026 41941814
AI based ECG data recovery and cardiovascular diseases classification (CEDRC-network).

Cardiovascular diseases (CVDs) are a significant and widespread cause of death in the world, continu...

Apr 2026 41942649
Clinical implementation of 3D deep learning techniques in predicting touch-up lesions for atrial fibrillation patients undergoing cryoablation.

BACKGROUND: Atrial fibrillation (AF) is a common heart rhythm disorder that can be treated with cryo...

Apr 2026 42005401
Machine Learning Optimization of Laser Ablation in Liquid for the Green and Low-Cost Synthesis of Clean Gold Nanoparticles.

While gold nanoparticles (Au NPs) are widely employed in modern technology, their large-scale synthe...

Apr 2026 41926712
Exploring the role of reinforcement learning in vision-language models for cardiovascular disease decision support.

OBJECTIVE: To explore the role of reinforcement learning (RL) in vision-language models (VLMs) for c...

Apr 2026 41932557
A lightweight and explainable cardiac signal framework for screening-oriented cardiometabolic risk assessment.

Early identification of cardiometabolic and autonomic dysfunction using electrocardiogram (ECG) sign...

Apr 2026 41921461
Deciphering atrial repolarization morphology: A spline interpolation framework for atrial arrhythmia diagnosis.

BackgroundThe characterization of atrial repolarization (Ta wave) remains largely elusive due to its...

Apr 2026 41919769
Automated multi-class ECG arrhythmia detection using VMD and multi-task optimization.

Electrocardiogram (ECG) classification is essential for accurately detecting and tracking heart rhyt...

Apr 2026 41922908
Re-evaluating heart rate variability biomarkers for glucose sensing: the impact of age normalisation and subject-independent validation.

BACKGROUND: Heart rate variability (HRV) derived from electrocardiogram (ECG) signals offers a promi...

Apr 2026 41923229
Arrhythmias and cardiac devices management in oncology patients.

Cardiac arrhythmia is increasingly encountered in patients with cancer, not only as a result of shar...

Mar 2026 41933629
LA-TReQNet: Improving Multielement Quantification Model for Laser Ablation Inductively Coupled Plasma Mass Spectrometry Based on Deep Learning Network.

Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is a widely used quantitativ...

Mar 2026 41910779
AI-Enhanced ECG Screenings: An Alternative to Traditional Questionnaires for Ischaemic Heart Disease.

Ischaemic heart disease (IHD) is the leading global cause of death. Traditional screening tools like...

Mar 2026 41903224
Resuscitation 2025 congress: launch of the resuscitation guidelines, scientific advances, education, equity, and innovation across the chain of survival.

The European Resuscitation Council (ERC) Congress - Resuscitation 2025 was held in Rotterdam as a fu...

Mar 2026 42005613
AI-Enhanced Electrocardiogram for Detection of Occlusive Myocardial Infarction in High-Risk Non-ST-Segment Elevation Acute Coronary Syndrome.

BACKGROUND: Whether an artificial intelligence-enhanced electrocardiogram (AI-ECG) improves detectio...

Mar 2026 41887018
Chronic heart failure detection based on long-term RR interval dynamics.

Chronic heart failure (CHF) is a condition affecting millions worldwide, characterized by the heart'...

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Mar 2026 41894899
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