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 ...
Patent covers machine learning techniques for ECG denoising, rhythm classification, sample-level labelling, wearable cardiac ...
Conventional ECG-based algorithms could contribute to sudden cardiac death (SCD) risk stratification but demonstrate moderate predictive capabilities. Deep learning (DL) models use the entire digital ...
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 ...
India: An artificial intelligence (AI)-based electrocardiogram (ECG) interpretation system demonstrated high accuracy in ...
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.
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 ...
An artificial intelligence (AI) deep-learning algorithm interpreting preoperative ECGs can identify risk for postoperative death in those undergoing cardiac surgery, noncardiac surgery, and ...
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