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Cardiology Subcategories: Acute Coronary Syndrome Arrhythmias Atherosclerosis Congestive Heart Failure Dyslipidemia Hypertension Metabolic Syndrome Myocardial Infarction PCI Peripheral Artery Disease Prevention Strokes Venous Thrombosis

Showing 1513-1533 of 7,976 articles

Advancing Remote and Continuous Cardiovascular Patient Monitoring through a Novel and Resource-efficient IoT-Driven Framework

Cardiovascular diseases are a leading cause of fatalities worldwide, often occurring suddenly with...

May 2025 http://arxiv.org/abs/2505.03409v1

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...

May 2025 http://arxiv.org/abs/2505.06263v1

Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI

Real-time (RT) dynamic MRI plays a vital role in capturing rapid physiological processes, offering...

May 2025 http://arxiv.org/abs/2505.00643v1

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

Evaluating Performance of a Deep Learning Multilabel Segmentation Model to Quantify Acute and Chronic Brain Lesions at MRI after Stroke and Predict Prognosis.

Purpose To develop and evaluate a multilabel deep learning network to identify and quantify acute an...

May 2025 40136026

Fully Automated Agatston Score Calculation From Electrocardiography-Gated Cardiac Computed Tomography Using Deep Learning and Multi-Organ Segmentation: A Validation Study.

To evaluate deep learning-based calcium segmentation and quantification on ECG-gated cardiac CT scan...

May 2025 38166442

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...

Apr 2025 http://arxiv.org/abs/2505.03787v1

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

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

Apr 2025 http://arxiv.org/abs/2505.03781v1

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images

Accurately predicting the Pavement Condition Index (PCI), a measure of roadway conditions, from pa...

Apr 2025 http://arxiv.org/abs/2504.18490v1

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...

Apr 2025 http://arxiv.org/abs/2505.05477v1

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

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

Apr 2025 http://arxiv.org/abs/2504.16101v1

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...

Apr 2025 http://arxiv.org/abs/2504.16097v1

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...

Apr 2025 http://arxiv.org/abs/2504.09302v1

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...

Apr 2025 http://arxiv.org/abs/2504.08713v3

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

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

Apr 2025 http://arxiv.org/abs/2504.08381v1

Improving Early Prediction of Type 2 Diabetes Mellitus with ECG-DiaNet: A Multimodal Neural Network Leveraging Electrocardiogram and Clinical Risk Factors

Type 2 Diabetes Mellitus (T2DM) remains a global health challenge, underscoring the need for early...

Apr 2025 http://arxiv.org/abs/2504.05338v1

Sim4EndoR: A Reinforcement Learning Centered Simulation Platform for Task Automation of Endovascular Robotics

Robotic-assisted percutaneous coronary intervention (PCI) holds considerable promise for elevating...

Apr 2025 http://arxiv.org/abs/2504.05330v1

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...

Apr 2025 http://arxiv.org/abs/2504.03531v1

Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study.

BACKGROUND: Left ventricular systolic dysfunction (LVSD) is independently associated with cardiovasc...

Apr 2025 40148010

Integrating electrocardiogram and fundus images for early detection of cardiovascular diseases

Cardiovascular diseases (CVD) are a predominant health concern globally, emphasizing the need for ...

Mar 2025 http://arxiv.org/abs/2504.10493v1

CardioTabNet: A Novel Hybrid Transformer Model for Heart Disease Prediction using Tabular Medical Data

The early detection and prediction of cardiovascular diseases are crucial for reducing the severe ...

Mar 2025 http://arxiv.org/abs/2503.17664v1