Cardiovascular

Arrhythmias

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

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Showing 1387-1407 of 2,005 articles
Cardiovascular Risk Assessment via Sleep Patterns and ECG-Based Biological Age Estimation.

Understanding the intricate relationship between sleep quality and cardiovascular outcomes opens ne...

May 2025 40429335
Performance of fully automated deep-learning-based coronary artery calcium scoring in ECG-gated calcium CT and non-gated low-dose chest CT.

OBJECTIVES: This study aimed to validate the agreement and diagnostic performance of a deep-learning...

May 2025 40348882
State-of-the-art analysis of electrocardiogram findings in sudden cardiac death.

Sudden cardiac death (SCD) is a significant public health issue, and efforts to prevent it have invo...

May 2025 40348407
Are Wearable ECG Devices Ready for Hospital at Home Application?

The increasing focus on improving care for high-cost patients has highlighted the potential of Hospi...

May 2025 40431777
Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet

Electrocardiogram (ECG) classification is crucial for automated cardiac disease diagnosis, yet exi...

Bioimpedance assessment method based on back propagation neural network for irreversible electroporation of liver tissue.

The safety and efficacy of irreversible electroporation (IRE) in tumor therapy has been validated ov...

May 2025 40341694
From Biometrics to Environmental Control: AI-Enhanced Digital Twins for Personalized Health Interventions in Healing Landscapes

The dynamic nature of human health and comfort calls for adaptive systems that respond to individu...

A Comprehensive Literature Review Discussing Diagnostic Challenges of Prinzmetal or Vasospastic Angina.

This narrative review addresses the diagnostic complexities of vasospastic angina (VSA), also known ...

May 2025 40486459
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification

Cardiac arrhythmias are a leading cause of life-threatening cardiac events, highlighting the urgen...

ALFRED: Ask a Large-language model For Reliable ECG Diagnosis

Leveraging Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) for analyzing me...

ECGDeDRDNet: A deep learning-based method for Electrocardiogram noise removal using a double recurrent dense network

Electrocardiogram (ECG) signals are frequently corrupted by noise, such as baseline wander (BW), m...

xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, highlighting the c...

A CNN-based Local-Global Self-Attention via Averaged Window Embeddings for Hierarchical ECG Analysis

Cardiovascular diseases remain the leading cause of global mortality, emphasizing the critical nee...

Application of Contrastive Learning on ECG Data: Evaluating Performance in Japanese and Classification with Around 100 Labels

The electrocardiogram (ECG) is a fundamental tool in cardiovascular diagnostics due to its powerfu...

ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning

Deep learning-based electrocardiogram (ECG) classification has shown impressive performance but cl...

An Empirical Investigation of Reconstruction-Based Models for Seizure Prediction from ECG Signals

Epileptic seizures are sudden neurological disorders characterized by abnormal, excessive neuronal...

ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object Segmentation

Camouflaged object segmentation presents unique challenges compared to traditional segmentation ta...

A Systematic Literature Review of Unmanned Aerial Vehicles for Healthcare and Emergency Services

Unmanned aerial vehicles (UAVs), initially developed for military applications, are now used in va...

Dense Neural Network Based Arrhythmia Classification on Low-cost and Low-compute Micro-controller

The electrocardiogram (ECG) monitoring device is an expensive albeit essential device for the trea...

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