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对混合心脏 perfusion 图像进行整体 AI 分析,以预测死亡率

Anna M Michalowska1, Wenhao Zhang1, Aakash Shanbhag1,2

  • 1Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA.

medRxiv : the preprint server for health sciences
|May 7, 2024
PubMed
概括

人工智能通过整合计算机断层扫描减弱校正 (CTAC) 数据,提高了心肌 perfusion imaging (MPI) 的风险预测. 使用CTAC,MPI和临床数据的综合方法,与单独使用MPI相比,显著改善了死亡率预测.

关键词:
所有原因的死亡率.人工智能的人工智能是人工智能.计算机断层扫描 (CT) 是一种计算机断层扫描.冠状动脉结石化,冠状动脉化胸前脂肪组织的脂肪组织.心肌输液是心肌输液.

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