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AI Finds Hidden ECG Marker Predicting Sudden Cardiac Death

6/29/2026

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Summary

Story summary

UC Berkeley researchers identified a hidden ECG warning sign for sudden cardiac death.
The AI flagged a high-risk group with a 7% annual death rate versus 4.6% for reduced LVEF patients, missed by standard screening and showing a QRS pattern in lead aVL that was the strongest previously undocumented predictor.
The model will be tested in databases in Sweden, Taiwan and the United States.

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Story summary

UC Berkeley researchers identified a hidden ECG warning sign for sudden cardiac death.
The AI flagged a high-risk group with a 7% annual death rate versus 4.6% for reduced LVEF patients, missed by standard screening and showing a QRS pattern in lead aVL that was the strongest previously undocumented predictor.
The model will be tested in databases in Sweden, Taiwan and the United States.