Researchers have developed a model that identifies individuals at high risk of sudden cardiac death using routine electrocardiograms (ECGs). The model detects specific warning signs in the heart's electrical activity that may indicate increased risk.
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New Model Identifies ECG Signals Predicting Sudden Cardiac Death Risk
A new research model has been created to identify individuals at high risk for sudden cardiac death through routine ECGs. This model highlights specific warning signs in the heart's electrical activity.
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Original Headline
AI finds hidden ECG signal that predicts sudden cardiac death risk
Neutral Headline
New Model Identifies ECG Signals Predicting Sudden Cardiac Death Risk