At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
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 ...
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Mastering ECG skills for future lifesavers
From medical classrooms to veterinary barns, mastering electrocardiogram (ECG) skills is opening new doors for early detection of heart problems. Practical and digital training approaches help ...
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Master heart health through smarter learning
From ECG interpretation to cardiac rehab, new research and training approaches are transforming how clinicians and patients understand, prevent, and manage heart disease. Evidence-based reasoning, ...
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 ...
MINNEAPOLIS, May 7, 2020 /PRNewswire/ -- Preventice Solutions announced the publication of real-world data further validating BeatLogic ® deep learning models designed to detect and classify multiple ...
An artificial intelligence (AI) deep-learning algorithm interpreting preoperative ECGs can identify risk for postoperative death in those undergoing cardiac surgery, noncardiac surgery, and ...
In a collaboration with Mayo Clinic, AliveCor will apply its smartphone electrocardiogram device and machine learning algorithms to tease out new physiological indicators of heart health as well as ...
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 ...
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