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A machine-learning model trained on thousands of electrocardiogram recordings identifies a previously unrecognized group of at-risk people
https://go.nature.com/4v0h2zB
1:51 AM · Jun 29, 2026 · 25.3K Views
UC Berkeley AI model uncovers hidden ECG signals to identify sudden cardiac death risk
It flags at-risk patients missed by traditional clinical methods
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Sentiment
Positive users praise the AI ECG models for detecting new waveform signals tied to cardiac death risks, while negative users criticize the reports for omitting baseline data on normal readings.
Pos
75.0%
Neg
25.0%
3 comments with sentiment.
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