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 ...
The company says its machine learning approach could help flag cardiac amyloidosis from standard 12-lead ECGs, though experts ...
The 12-lead ECG hasn't changed in a century. The algorithms reading it have. Three CEOs and one educator on whether doctors should trust the model ...
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 ...
Patent covers machine-learning models that use ECG data to estimate echocardiogram parameters indicative of diastolic functionSouthlake, TX, June 11, 2026 (GLOBE NEWSWIRE) -- HeartSciences Inc.
An artificial intelligence (AI) deep-learning algorithm interpreting preoperative ECGs can identify risk for postoperative death in those undergoing cardiac surgery, noncardiac surgery, and ...
An electrocardiogram is a picture of the electrical conduction of the heart. By examining changes from normal on the ECG, clinicians can identify a multitude of cardiac disease processes. There are ...
PARIS – Teams from the Pitié-Salpêtrière hospital, the Institute for Research in Development, Sorbonne University and the National Institute of Health and Medical Research are proposing a new ...
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