Latest AI and machine learning research in myocardial infarction for healthcare professionals.
BACKGROUND: The electrocardiogram (ECG) screening in athletes is essential due to the unique cardiac...
Transcranial direct current stimulation (tDCS) as a non-invasive stimulation is still in the experim...
BACKGROUND: Chronic obstructive pulmonary disease (COPD), marked by dyspnea, cough, and sputum produ...
OBJECTIVE: In this paper we develop and evaluate ECG-SMART-NET for occlusion myocardial infarction (...
Electrocardiogram (ECG) is a common non-invasive diagnostic tool for cardiovascular diseases. Adequa...
Arrhythmia classifiers relying on supervised deep learning models usually require a substantial amou...
Recent advancements in computed tomography have significantly transformed the clinical application o...
Cardiogenic shock (CS) is a life-threatening complication of ST-elevation myocardial infarction (ST...
Biosensor-based, real-time stress detection has generated clinical interest for the purpose of drivi...
BACKGROUND: The long-term success rate of atrial fibrillation (AF) ablation remains a significant cl...
This study presents a real-time implementation of an accelerated Hurst Contour Projection from Multi...
Rapid respiratory rate (RR) changes in older adults may indicate serious illness. Therefore, accurat...
Atrial fibrillation (AF) has been a prevalent and serious arrhythmia associated with increased morbi...
Integrating Artificial Intelligence (AI) with electrocardiograms (ECG) represents a transformative s...
Coronary CT angiography (CCTA) has seen steady progress since its inception, becoming a key player i...
INTRODUCTION: Premature Ventricular Contractions (PVCs) can be warning signs for serious cardiac con...
The aim was to determine the profile of long-term symptoms after known and undetected SARS-CoV-2 inf...
Deep learning-based electrocardiogram (ECG) classification has shown impressive performance but clin...
: While early risk stratification in STEMI is essential, the threat of cardiogenic shock (CS) persis...
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is one of the most common sleep disorders affectin...
A convolutional neural network (CNN)-enhanced electrocardiogram (ECG) has been reported for detectin...