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AI Finds Hidden Heart Risks in ECGs | Texas News
New UC Berkeley research reveals AI can detect hidden cardiac dangers in routine ECGs, potentially saving lives by identifying at-risk patients—even young athletes—before sudden cardiac arrest strikes. Trained on 400,000 ECGs, the AI outperforms traditional LVEF screenings by spotting subtle patterns in the QRS complex, a previously unnoticed predictor of sudden death. This could revolutionize implantable defibrillator use, reducing unnecessary procedures while catching those truly in danger. While not yet for home use, the tool underscores how everyday ECGs might hold life-saving…
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