AI Finds the "Hidden Pulse of Death"

A recent study revealed that artificial intelligence can identify a new electrical marker in electrocardiograms associated with an increased risk of sudden cardiac death, using models based on traditional data. The results demonstrated an improvement in predictive accuracy, with the model able to identify patients with an annual risk rate of 7% without relying on conventional criteria. This opens new horizons for the development of more precise diagnostic and preventive tools in cardiology.

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