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AI Predicts Sudden Cardiac Death from ECGs | Annapolis News
A groundbreaking AI tool developed at UC Berkeley is revolutionizing heart health by analyzing ECGs to predict sudden cardiac death—something traditional screenings often miss. Trained on over 440,000 ECGs, the model outperforms current methods like LVEF by identifying high-risk individuals through a previously unnoticed pattern in the QRS complex. This could transform defibrillator use, sparing patients unnecessary procedures while saving lives. Already being tested in Sweden, Taiwan, and the U.S., the tech underscores the importance of discussing symptoms with your doctor—and knowing CPR…
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