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AI may spot deadly heart risk in a routine ECG
Summary by Denton News Editorial Desk Dallas-Fort Worth , as published by FOX 4 KDFW (Dallas-Fort Worth)
· June 29, 2026
· 1 min read
UC Berkeley researchers say a new AI model found a hidden ECG signal that could help doctors identify more people at risk before sudden cardiac death.
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Summary created by Denton News Editorial Desk — automated, rule-governed Byline on source page Dallas-Fort Worth, as published by FOX 4 KDFW (Dallas-Fort Worth) Original story Read at the source Source published Jun 29, 2026 AI assistance Automated summary drawn from the source’s own published text Prepublication human review No — editorial rules, flagged-item review, and published samples
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What is this story about? UC Berkeley researchers say a new AI model found a hidden ECG signal that could help doctors identify more people at risk before sudden cardiac death.
When was this published? This article was first published on June 29, 2026 by FOX 4 KDFW (Dallas-Fort Worth) and curated for Denton News readers.
Who reported this story? This story was reported by Dallas-Fort Worth at FOX 4 KDFW (Dallas-Fort Worth). To learn more about how Denton News selects and reviews stories, see our editorial standards .
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