约翰·霍普金斯研究人员创建了人工智能模型 更好地预测突发心脏死亡的风险 Johns Hopkins researchers create AI model that better predicts sudden cardiac death risk.

Johns Hopkins大学的研究人员开发了AI模型MAARS,该模型在确定心脏病突然死亡高风险患者方面比现行准则表现得更好。 Researchers at Johns Hopkins University have developed an AI model, MAARS, which outperforms current guidelines in identifying patients at high risk of sudden cardiac death. 通过将心脏MRI图像与患者健康记录相结合,MAARS为40至60岁病人提供了89%的总体精确度和93%的精确度,重点是高营养性心血管病。 By integrating cardiac MRI images with patient health records, MAARS offers a precision of 89% overall and 93% for patients aged 40 to 60, focusing on hypertrophic cardiomyopathy. 该模型旨在扩展至其他心脏状况。 The model aims to expand to other heart conditions.