Researchers at Johns Hopkins University have developed a new AI model, MAARS (Multimodal AI for Ventricular Arrhythmia Risk Stratification), that greatly improves the prediction of sudden cardiac death risk compared to current clinical methods. Published in Nature Cardiovascular Research, the study focused on hypertrophic cardiomyopathy—a leading cause of sudden cardiac death in young people.
MAARS combines cardiac MRI images with patient health data and achieved 89% overall accuracy, outperforming traditional clinical guidelines, which only reach about 50%. For patients aged 40–60, the model reached 93% accuracy. The AI detects subtle heart scarring patterns that are often missed by doctors, offering a more precise and life-saving tool.
Researchers plan to expand the model’s use to other heart conditions like cardiac sarcoidosis and arrhythmogenic right ventricular cardiomyopathy.
Credit : CGTN
You can listen to the programs organized by MI Radio on Google Podcast, Apple Podcast and Spotify.
You can download MI Radio application on Google Play Store and Apple App Store.
