Latest AI and machine learning research in myocardial infarction for healthcare professionals.
Recurrent angina (RA) after percutaneous coronary intervention (PCI) has few known risk factors, ham...
Background Because chest compressions induce artifacts in the ECG, current automated external defibr...
Electrocardiography (ECG) is a quick and easily accessible method for diagnosis and screening of ca...
Recently, the interest in biometric authentication based on electrocardiograms (ECGs) has increased....
Thoracic pain is a shared symptom among gastrointestinal diseases, muscle pain, emotional disorders,...
BACKGROUND: Atrial fibrillation (AF) is associated with substantial morbidity, especially when it go...
Coronary luminal dimensions change during the cardiac cycle. However, contemporary volumetric intrav...
OBJECTIVE: This study aims to develop an artificial intelligence-based method to screen patients wit...
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has caused health concerns worldwide si...
The incidence of cardiovascular disease is increasing year by year and is showing a younger trend. A...
The application of artificial intelligence (AI) to the electrocardiogram (ECG), a ubiquitous and sta...
BACKGROUND: Heart rate-corrected QT interval (QTc) prolongation, whether secondary to drugs, genetic...
Electrocardiogram (ECG) signals play a vital role in diagnosing and monitoring patients suffering fr...
Anginal symptoms can connote increased cardiac risk and a need for change in cardiovascular manageme...
The number of patients with cardiovascular diseases is rapidly increasing in the world. The workload...
Electrocardiogram (ECG) is the most effective instrument for making decisions about various forms of...
Atrial Fibrillation (AF) the most commonly occurring type of cardiac arrhythmia is one of the main c...
BACKGROUND: Due to the limited number of studies with long term follow-up of patients undergoing Per...
Background An artificial intelligence algorithm that detects age using the 12-lead ECG has been sugg...
Background Classical ST-T waveform changes on standard 12-lead ECG have limited sensitivity in detec...
BACKGROUND: ECG interpretation requires expertise and is mostly based on physician recognition of sp...