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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 946-966 of 7,963 articles

Overview on prediction, detection, and classification of atrial fibrillation using wavelets and AI on ECG.

Atrial fibrillation (AF) is the most common supraventricular cardiac arrhythmia, resulting in high m...

Jan 2022 35033876

Attenuation of Oxidative Stress, Interleukin-6, High-Sensitivity C-Reactive Protein, Plasminogen Activator Inhibitor-1, and Fibrinogen with Oral Vitamin D Supplementation in Patients with T2DM having Vitamin D Deficiency.

Type 2 diabetes mellitus (T2DM) associated with oxidative stress and inflammation causes endotheli...

Dec 2021 35982882

Automated segmentation of metal stent and bioresorbable vascular scaffold in intravascular optical coherence tomography images using deep learning architectures.

Percutaneous coronary intervention (PCI) with stent placement is a treatment effective for coronary ...

Dec 2021 34911053

Detection of maternal and fetal stress from the electrocardiogram with self-supervised representation learning.

In the pregnant mother and her fetus, chronic prenatal stress results in entrainment of the fetal he...

Dec 2021 34921162

Detection of Left Atrial Myopathy Using Artificial Intelligence-Enabled Electrocardiography.

BACKGROUND: Left atrial (LA) myopathy is common in patients with heart failure and preserved ejectio...

Dec 2021 34911362

Enhancing electrocardiographic analysis by combining a high-resolution 12-lead ECG with novel software tools.

INTRODUCTION: Signal-averaged electrocardiography is a non-invasive, computerized technique that amp...

Dec 2021 34929607

An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression Data.

Myocardial infarctions and heart failure are the cause of more than 17 million deaths annually world...

Dec 2021 33259306

Deep Learning Techniques in the Classification of ECG Signals Using R-Peak Detection Based on the PTB-XL Dataset.

Deep Neural Networks (DNNs) are state-of-the-art machine learning algorithms, the application of whi...

Dec 2021 34960267

A Shrewd Artificial Neural Network-Based Hybrid Model for Pervasive Stress Detection of Students Using Galvanic Skin Response and Electrocardiogram Signals.

Mental illness issues are a very common health issue in youths and adults across the world. The usag...

Nov 2021 34851743

Drug repurposing for COVID-19 using graph neural network and harmonizing multiple evidence.

Since the 2019 novel coronavirus disease (COVID-19) outbreak in 2019 and the pandemic continues for ...

Nov 2021 34848761

Mental Stress Classification Based on a Support Vector Machine and Naive Bayes Using Electrocardiogram Signals.

Examining mental health is crucial for preventing mental illnesses such as depression. This study pr...

Nov 2021 34883920

A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging.

Traditional approach for predicting coronary artery disease (CAD) is based on demographic data, symp...

Nov 2021 34873413

Real-Time Stress Level Feedback from Raw Ecg Signals for Personalised, Context-Aware Applications Using Lightweight Convolutional Neural Network Architectures.

Human stress is intricately linked with mental processes such as decision making. Public protection ...

Nov 2021 34883806

Analyzing artificial intelligence systems for the prediction of atrial fibrillation from sinus-rhythm ECGs including demographics and feature visualization.

Atrial fibrillation (AF) is an abnormal heart rhythm, asymptomatic in many cases, that causes severa...

Nov 2021 34815461

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine.

Recent global developments underscore the prominent role big data have in modern medical science. Bu...

Nov 2021 34753975

Cardiovascular

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Overview on prediction, detection, and classification of atrial fibrillation using wavelets and AI on ECG.

Attenuation of Oxidative Stress, Interleukin-6, High-Sensitivity C-Reactive Protein, Plasminogen Activator Inhibitor-1, and Fibrinogen with Oral Vitamin D Supplementation in Patients with T2DM having Vitamin D Deficiency.

Automated segmentation of metal stent and bioresorbable vascular scaffold in intravascular optical coherence tomography images using deep learning architectures.

Detection of maternal and fetal stress from the electrocardiogram with self-supervised representation learning.

Detection of Left Atrial Myopathy Using Artificial Intelligence-Enabled Electrocardiography.

Enhancing electrocardiographic analysis by combining a high-resolution 12-lead ECG with novel software tools.

An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression Data.

Deep Learning Techniques in the Classification of ECG Signals Using R-Peak Detection Based on the PTB-XL Dataset.

A Shrewd Artificial Neural Network-Based Hybrid Model for Pervasive Stress Detection of Students Using Galvanic Skin Response and Electrocardiogram Signals.

Drug repurposing for COVID-19 using graph neural network and harmonizing multiple evidence.

Mental Stress Classification Based on a Support Vector Machine and Naive Bayes Using Electrocardiogram Signals.

A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging.

Real-Time Stress Level Feedback from Raw Ecg Signals for Personalised, Context-Aware Applications Using Lightweight Convolutional Neural Network Architectures.

Analyzing artificial intelligence systems for the prediction of atrial fibrillation from sinus-rhythm ECGs including demographics and feature visualization.

Study on Horizon Scanning with a Focus on the Development of AI-Based Medical Products: Citation Network Analysis.

Intelligent Monitoring of Care Status for COPD Patients Based on Deep Learning.

Evolution of single-lead ECG for STEMI detection using a deep learning approach.

Cancer classification using machine learning and HRV analysis: preliminary evidence from a pilot study.

Automatic Multi-Label ECG Classification with Category Imbalance and Cost-Sensitive Thresholding.

Study on the use of standard 12-lead ECG data for rhythm-type ECG classification problems.

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine.

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