AI May Detect Deadly Heart Risk from Routine ECG Scans
Artificial intelligence is increasingly being applied to medical diagnostics, with recent developments focusing on detecting serious heart conditions through routine ECG tests. Electrocardiograms, which measure the heart's electrical activity, are commonly used in clinical settings but may not always reveal underlying risks. AI models trained on large datasets of ECG readings and patient outcomes are showing promise in identifying patterns that human interpretation might miss, potentially flagging patients at risk for deadly cardiac events before symptoms appear. This approach could represent a significant advancement in preventive cardiology, offering a non-invasive way to enhance early detection of heart disease.