Through the analysis of dynamic electrocardiogram data, AI algorithms have demonstrated the capability to predict the risk of severe arrhythmia with a precision exceeding 70%, up to two weeks in advance. The research team is set to embark on clinical trials to evaluate the model's efficacy, aiming to potentially integrate it into hospital monitoring systems for high-risk patients and wearable devices in the near future.
