Background While low-dose computed tomography scans are traditionally used for attenuation correction in hybrid myocardial perfusion imaging (MPI), they also contain additional anatomic and pathologic information not utilized in clinical assessment. We seek to uncover the full potential of these scans utilizing a holistic artificial intelligence (AI)-driven image framework for image assessment.

中文翻译：

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用于死亡率预测的混合心脏灌注图像的整体 AI 分析

背景虽然低剂量计算机断层扫描传统上用于混合心肌灌注成像（MPI）中的衰减校正，但它们还包含临床评估中未使用的额外解剖和病理信息。我们寻求利用整体人工智能 (AI) 驱动的图像框架进行图像评估，以揭示这些扫描的全部潜力。