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Posted: 2025-04-24 04:43:23 UTC
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
Status
Last Updated
2025-04-24 04:44:27 UTC
Verified By
Rollup News
A novel deep learning model using dynamic single-lead ambulatory ECGs can accurately identify patients at near-term risk of ventricular arrhythmias, potentially enabling prompt pre-emptive actions and enhancing near-term sudden cardiac death prevention.
Deep learning model for ECG analysis
Risk prediction of ventricular arrhythmias
Early detection for preemptive action