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Ammar Hoori1, Sadeer Al-Kindi2,3, Tao Hu1

  • 1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.

ArXiv
|September 4, 2023
PubMed
概括

与传统的Agatston评分相比,人工智能驱动的-奥米克分析显著改善了对主要不良心血管事件 (MACE) 的预测. 这种新的方法提供了对冠状动脉化的更全面的评估,以更好地分层风险.

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