A team of researchers from New York University, Evidation Health and NYU Langone Health has found that deep learning electrocardiogram devices can be susceptible to adversarial attacks. In their paper ...

Extracting the foetal signal from the mother’s abdominal electrocardiogram is a crucial step for monitoring the health of the unborn child. (Courtesy: iStock/iTie) Researchers in Iran have used a deep ...

Discover how machine learning models are revolutionizing the diagnosis of occlusion myocardial infarction (OMI) in patients with acute chest pain. Machine learning models surpass clinicians and ...

Researchers at the Mount Sinai Kravis Children's Heart Center led a multicenter effort to develop and validate an artificial intelligence (AI) tool that can analyze a standard electrocardiogram (ECG) ...

INTRODUCTION Interpretation of the electrocardiogram (ECG) is an essential skill in most medical specialties; however, the best method of teaching how to read ECGs has not been determined. OBJECTIVES ...

If you are a nurse, doctor or other medical professional that deals with cardiac issues or ECG readings, you owe it to yourself and your patients to take an EKG interpretation course. An EKG ...

A third of the more than 300 million electrocardiograms (EKGs) conducted annually worldwide are performed in the United States. The technology behind EKGs hasn't changed in decades, despite their ...