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 ...
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 ...
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 ...
Schematic representation of the ECG-LM model, a multi-modal large language model for cardiovascular diagnostics. The model integrates ECG data with patient information, offering accurate and ...
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 ...
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AI analyzes ECG to predict ventricular remodeling in patients with repaired tetralogy of Fallot
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) ...
New machine learning model predicts cardiac arrest in ICU patients using ECG data with high accuracy
In a recent article published in Npj Digital Medicine, researchers utilized electrocardiogram (ECG) data from a large retrospective cohort to extract various heart rate variability (HRV) measures.
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