US researchers have developed a new artificial intelligence (AI) model that significantly outperforms current clinical guidelines in identifying patients at high risk of sudden cardiac death. 

The AI system, known as Multimodal AI for Ventricular Arrhythmia Risk Stratification (MAARS), integrates cardiac MRI images with a wide range of patient health records to detect hidden warning signs, offering a new level of precision in cardiovascular risk prediction, Xinhua News Agency reported.

The study, published in the journal Nature Cardiovascular Research, focused on hypertrophic cardiomyopathy -- one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young people.