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scienceTuesday, June 30, 2026

AI spots heart risk in routine ECGs

AI's ability to find hidden patterns in medical data takes a practical turn today, with a model that spots sudden cardiac death risk from a standard ECG. Meanwhile, the line between real and fake faces blurs further, and a Stanford study makes the case against daylight saving time on health grounds.

Sources

AI in medicine

A UC Berkeley AI model trained on routine ECGs can identify hidden patterns linked to sudden cardiac death, potentially catching at-risk individuals before a cardiac arrest occurs.

#01www.fox7austin.comJun 30
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AI may spot deadly heart risk in a routine ECG

The AI model picks up on subtle ECG patterns that doctors miss, which could make sudden cardiac death screening as routine as an EKG. The real impact would be catching younger athletes and people without known heart problems.

8 min readRead original

Perception and time

Two stories question how we perceive reality: AI faces have become so realistic they fool most people, and physicists explore whether time might flow in reverse.

Health and environment

A Stanford study adds to the case against daylight saving time, linking it to long-term health harms from circadian disruption.

Also today4

More roundups that day

AI spots heart risk in routine ECGs | Science Roundup · 30 Jun