新AI模型助力更准确预测心源性猝死风险

Core Insights - A new multimodal AI model has been developed to significantly improve the accuracy of identifying high-risk populations for sudden cardiac death, potentially saving lives and reducing unnecessary medical interventions [1] Group 1: AI Model Development - The AI model is named "Multimodal AI Ventricular Arrhythmia Risk Stratification System (MAARS)" [1] - It analyzes cardiac MRI and various medical data to uncover previously unrecognized important cardiac health information [1] Group 2: Impact on Healthcare - The model aims to provide more accurate predictions of sudden cardiac death risk caused by ventricular arrhythmias [1]