AI can detect sudden cardiac death risk better than standard measures

Researchers from UC Berkeley have created an AI model that outpaces existing clinical tests in identifying the risk of sudden cardiac death from standard electrocardiograms. Trained on over 440,000 EKGs from Sweden, the algorithm shows promising results in detecting this risk more accurately than traditional measures. This development could lead to earlier and more effective interventions, potentially saving many lives by addressing cardiac issues before they become fatal. The implications are significant, especially given the prevalence of sudden cardiac death globally.