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Deep-learning model may predict cardiovascular outcomes from sleep-study ECGs

NIH says integrating ECGs into sleep-disorder screening could enhance detection and guide clinical decision-making.

NIHNI
1 Source, 1h ago, first seen 1h ago

TLDR

NIH says a deep-learning model using electrocardiograms (ECGs) recorded during sleep studies can predict cardiovascular outcomes. It says integrating ECGs into sleep-disorder screening could enhance detection and guide clinical decision-making.

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1 Source, first seen 1h ago

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Combined views

2.3K

1 Source, first seen 1h ago

4 likes3 comments1 saves
Press release from the National Institutes of Health on a deep learning model that uses ECGs during sleep studies to predict cardiovascular outcomes, displayed on a blue background.

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NIH@NIHNEWS: Deep learning model using electrocardiograms (ECGs) during sleep studies can predict cardiovascular outcomes. Read more ➡️ https://bit.ly/47cMAc01h
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    1 Source

    NIH@NIHNEWS: Deep learning model using electrocardiograms (ECGs) during sleep studies can predict cardiovascular outcomes. Read more ➡️ https://bit.ly/47cMAc01h
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