New AI model helps more accurately predict sudden cardiac death risk

U.S. researchers have developed a multimodal artificial intelligence (AI) model that significantly improves the accuracy of identifying people at high risk of sudden cardiac death, helping to save lives and reduce unnecessary medical interventions. Researchers from Johns Hopkins University and other institutions recently published a paper in Nature Cardiovascular Research saying that their newly developed AI model, called the "Multimodal AI Ventricular Arrhythmia Risk Stratification System (MAARS)," can analyze a patient's cardiac-enhanced MRI and various medical data to unearth previously unrecognized AI data. medical data to mine previously unrecognized important heart health information to more accurately predict the risk of sudden cardiac death caused by ventricular arrhythmias. (Caixinhua News Agency)