Latest AI and machine learning research in arrhythmias for healthcare professionals.
Left ventricular mass is a risk marker for cardiovascular events, and may indicate an underlying car...
This study proposes an electrocardiogram (ECG) signal stitching scheme to detect arrhythmias in driv...
Electrocardiogram (ECG) biometric provides an authentication to identify an individual on the basis ...
BACKGROUND: Machine learning methods are used in the classification of various cardiovascular diseas...
BACKGROUND: Artificial intelligence-augmented ECG (AI-ECG) refers to the application of novel AI sol...
Signal analysis is a domain which is an amalgamation of different processes coming together to form ...
Chest pain is a common clinical complaint for which myocardial injury is the primary concern and is ...
Electroencephalography (EEG) is often used to evaluate several types of neurological brain disorders...
Medical device reliability is the ability of medical devices to endure functioning and is indispensa...
Providing reliable detection of QRS complexes is key in automated analyses of electrocardiograms (EC...
The objective of this study is to explore new imaging techniques with the use of the deep learning m...
In this paper, we study human-AI collaboration protocols, a design-oriented construct aimed at estab...
Cardiac disease is the leading cause of death in the US. Accurate heart disease detection is critica...
Generative Adversarial Networks (GANs) are a revolutionary innovation in machine learning that enabl...
Automated electrocardiogram (ECG) classification using machine learning (ML) is extensively utilized...
BACKGROUND: Pulmonary hypertension (PH) is life-threatening, and often diagnosed late in its course....
OBJECTIVE: To investigate the predictive value of deep learning-based cardiac ultrasound flow imagin...
BACKGROUND AND OBJECTIVE: In silico prediction of drug-induced ventricular arrhythmia often requires...
Electrocardiography is the gold standard technique for detecting abnormal heart conditions. Automati...
In the past decade, the scale of e-commerce has continued to grow. With the outbreak of the COVID-19...
A major challenge in artificial intelligence based ECG diagnosis lies that it is difficult to obtain...