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SYSTEM PROCESSING...
Posted: 2025-04-24 04:54:08 UTC

This article contains some claims that are falsified. While not everything in the article is false, please proceed with extreme caution and verify any critical information independently.
This article contains some claims that are falsified. While not everything in the article is false, please proceed with extreme caution and verify any critical information independently.
Status
Last Updated
2025-04-24 04:55:59 UTC
Verified By
Rollup News
A deep learning model is used to predict sudden cardiac arrest from single-lead ECG data. The model explains differences in cardiac arrest occurrence due to age and sex, and ECG data up to a year prior to an arrest showed predictive value.
Deep learning using single-lead ECG data shows promise as a screening tool for cardiac arrest.
ECG data explained two of the strongest cardiac arrest risk factors (age and sex).
Cardiac arrest commonly involves a chronic pathologic process.