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 ...
Machine-learning models that incorporate common clinical features along with ECG findings may help identify patients who are likely to have coronary artery calcium (CAC), with potential implications ...
Researchers trained seven machine-learning models on structured ECG reports from more than 11,000 hospitalized children and ...
I bought a workbook because I wanted to study ECGs.However, when I get home from work, I'm too tired to open it. Even if I ...
This diagnostic systematic review and meta-analysis assessed AI-enabled ECG (AI-ECG) for detecting acute myocardial ...
Left ventricular diastolic dysfunction (LVDD) is a key pathophysiological feature of heart failure with preserved ejection fraction ...
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.
An artificial intelligence (AI) deep-learning algorithm interpreting preoperative ECGs can identify risk for postoperative death in those undergoing cardiac surgery, noncardiac surgery, and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results