Researchers report that artificial intelligence can detect a “hidden” heart signal associated with sudden cardiac death risk. In the study, researchers analyze large sets of electrocardiogram (ECG) data alongside linked death certificate records over a period of about a decade. The work aims to find markers that can flag individuals who may appear healthy under conventional screening but still have a higher risk of sudden cardiac death. According to the reporting, the AI approach identifies a signal that is not detected through standard evaluation methods and may help distinguish higher-risk people earlier. The researchers describe the signal as previously unknown and suggest it could improve risk prediction beyond existing clinical screening tools. The findings are presented as a potential method for identifying at-risk individuals, though the reports focus on the analytical results from the collected datasets rather than immediate clinical deployment. The study highlights the use of AI pattern recognition applied to routinely collected heart measurements to refine risk stratification for sudden cardiac events.