LOS ANGELES, July 4 (Xinhua) -- Researchers at Johns Hopkins University have developed a new artificial intelligence (AI) model that significantly outperforms current clinical guidelines in identifying patients at high risk of sudden cardiac death, according to a newly published study.
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.
