Researchers at UC Berkeley have made a discovery that could help identify people at risk of sudden cardiac death. They have developed a new AI model that can spot a hidden signal in routine ECGs.

This hidden ECG signal could be a key to helping doctors determine which individuals are more likely to experience sudden cardiac death. The AI model is seen as a potential tool for early identification of at-risk individuals.

Further details about this breakthrough are available from the source, including how the AI model works and its potential impact on cardiac health.