Cardiovascular

Arrhythmias

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

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Showing 379-399 of 2,489 articles
Scalable fabrication of gas sensors via spark-ablation printing of semiconductive metal oxide nanoparticles and heterostructures.

Semiconductive metal oxide (SMO) gas sensors are extensively used in air monitoring, industrial safe...

Apr 2026 42014679
Rhythms of mood: Bidirectional regulation of molecular clocks and neurotransmission in affective disorders.

Mood disorders, primarily major depressive and bipolar disorder, are characterized by significant ne...

Apr 2026 42019704
Low-latency HRV analysis from ultra-short ECG windows using a modular deep-learning framework.

We present a universal modular deep-learning framework and demonstrate its application to low-latenc...

Apr 2026 42009787
Personalized Deep Networks for Enhanced ECG Segmentation.

Electrocardiography (ECG) plays a vital role in the diagnosis of cardiovascular diseases by analyzin...

Apr 2026 42010029
Automatic segmentation of target volume of breast radiotherapy on CT using MSR-UNet: A multicenter study.

PURPOSE: We developed MSR-UNet(Mamba-based Skip Refinement U-Net) to accurately segment the clinical...

Apr 2026 42013486
Multimodal cardiovascular risk profiling using self-supervised learning of polysomnography.

STUDY OBJECTIVES: Polysomnography (PSG) provides a comprehensive assessment of brain, cardiac, and r...

(3)
Apr 2026 41288599
AI-enhanced approaches for personalized cardiac treatment: insights from ECG data.

The analysis of drug-induced alterations in the electrocardiogram (ECG) is essential in measuring ca...

Apr 2026 41991936
AI-enabled privacy-preserving cardiac diagnostics via electrocardiograms.

Electrocardiogram (ECG) is a widely available, non-invasive diagnostic tool used for cardiovascular ...

Apr 2026 41986431
Risk-Guided Atrial Fibrillation Screening With Artificial Intelligence-Enabled Electrocardiogram Models: A VITAL-AF Trial Analysis.

BACKGROUND: Screening for atrial fibrillation (AF) may lead to earlier detection and initiation of p...

Apr 2026 41983618
Wearable ECG and PPG for anxiety detection: a translational digital medicine perspective.

Anxiety disorders affect hundreds of millions of people worldwide, yet objective and continuous asse...

Apr 2026 41975050
Wheelchair movement signal classification from EEG for motor-impaired individuals using novel deep learning architecture.

Purpose: Traditional wheelchair controls often limit independence and pose safety risks for motor-im...

Apr 2026 41964479
Differentiating long QT syndrome genotypes using electrocardiographic geometric parameterization and machine learning approaches.

Long QT Syndrome (LQTS) is an inherited cardiac disorder characterized by dysfunctional cardiac ion ...

Apr 2026 41961050
Applying machine learning and natural language processing to patient safety event reports: Identifying patterns of cardiovascular diagnostic errors.

OBJECTIVE: To explore the utility of natural language processing (NLP) and machine learning (ML) tec...

Apr 2026 41961785
Patient-specific instantaneous spatial temperature maps for MR-guided laser interstitial thermal therapy using a physics-assisted deep learning framework.

PURPOSE: Accurate prediction of the laser energy absorption and corresponding thermal spread is esse...

(1)
Apr 2026 41954804
Beat-to-beat variability of ventricular repolarization reveals sex-specific instability and proarrhythmic risk.

Beat-to-beat QT interval variability (QTV) is a well-established marker of increased vulnerability t...

Apr 2026 41955296
Personalized artificial intelligence based left ventricular ejection fraction and systolic dysfunction assessment.

Left-ventricular (LV) ejection fraction (LVEF) is a fundamental measure of cardiac function, typical...

Apr 2026 41951962
Multicenter validation of an artificial intelligence-enabled ECG model to predict 1-year risk of atrial fibrillation or flutter.

BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia associated with an increa...

Apr 2026 41956270
Electrocardiogram-Based Mental Stress Detection Amid Everyday Activities Using Machine Learning: Model Development and Validation Study.

BACKGROUND: Frequent, sustained stress is linked to poor health and requires monitoring for early in...

Apr 2026 41945645
MAF-Net: Multimodal cross-attention-based fusion network for cardiovascular disease classification.

Cardiovascular disease ranks among the leading causes of death globally, posing a severe threat to h...

Apr 2026 41945565
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