Cardiovascular

Myocardial Infarction

Latest AI and machine learning research in myocardial infarction for healthcare professionals.

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Showing 85-105 of 6,871 articles
Imbalanced feature generation based on bootstrap power spectral curve for estimating respiratory rate.

Rapid respiratory rate (RR) changes in older adults may indicate serious illness. Therefore, accurat...

Trading off Iodine and Radiation Dose in Coronary Computed Tomography.

Coronary CT angiography (CCTA) has seen steady progress since its inception, becoming a key player i...

Artificial intelligence and the electrocardiogram: A modern renaissance.

Integrating Artificial Intelligence (AI) with electrocardiograms (ECG) represents a transformative s...

Atrial fibrillation detection via contactless radio monitoring and knowledge transfer.

Atrial fibrillation (AF) has been a prevalent and serious arrhythmia associated with increased morbi...

A novel method of BiFormer with temporal-spatial characteristics for ECG-based PVC detection.

INTRODUCTION: Premature Ventricular Contractions (PVCs) can be warning signs for serious cardiac con...

Risk tools for predicting long-term sequelae based on symptom profiles after known and undetected SARS-CoV-2 infections in the population.

The aim was to determine the profile of long-term symptoms after known and undetected SARS-CoV-2 inf...

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 clin...

Dynamic Predictive Models of Cardiogenic Shock in STEMI: Focus on Interventional and Critical Care Phases.

: While early risk stratification in STEMI is essential, the threat of cardiogenic shock (CS) persis...

Robust performances of a nocturnal long-term ECG algorithm for the evaluation of sleep apnea syndrome: A pilot study.

Obstructive sleep apnea-hypopnea syndrome (OSAHS) is one of the most common sleep disorders affectin...

Can ChatGPT accurately detect atrial fibrillation using smartwatch ECG?

BACKGROUND: Current guidelines require physician confirmation for smartwatch-diagnosed atrial fibril...

Enhancing ECG Classification in Cardiac Diagnostics: A Novel Approach Using Adaptive Focal Cross-Entropy Loss Function.

Heart disease is the leading cause of mortality globally. Electrocardiograms (ECGs) are standard ins...

Role of Mobile Health and Wearable Devices in Cardiovascular Disease Prevention: A Comprehensive Review.

Cardiovascular disease (CVD) is a leading cause of death worldwide. A key area of interest in CVD pr...

Invited Article: Al guided Dual Antiplatelet Therapy and Anticoagulation.

Artificial intelligence (AI) has emerged as a transformative tool in healthcare through data analysi...

TCGAN: Temporal Convolutional Generative Adversarial Network for Fetal ECG Extraction Using Single-Channel Abdominal ECG.

Noninvasive fetal ECG (FECG) monitoring holds significant importance in ensuring the normal developm...

A Review on Intelligent Systems for ECG Analysis: From Flexible Sensing Technology to Machine Learning.

This paper conducts an extensive review of flexible cardiac sensing devices designed for electrocard...

Balancing privacy and health integrity: A novel framework for ECG signal analysis in immersive environments.

The widespread use of immersive technologies such as Virtual Reality, Mixed Reality, and Augmented R...

Unveiling fetal heart health: harnessing auto-metric graph neural networks and Hazelnut tree search for ECG-based arrhythmia detection.

Fetal electrocardiogram (ECG) provides a non-invasive means to assess fetal heart health, but isolat...

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