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Updated: Jan 17, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
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从PET生物标志物对冠状动脉疾病的诊断进行可解释AI的多中心评估

Wenhao Zhang1,2, Jacek Kwiecinski3, Aakash Shanbhag1,4

  • 1Artificial Intelligence in Medicine Research Center, Departments of Biomedical Sciences, Medicine, and Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

NPJ digital medicine
|January 14, 2026
PubMed
概括

一个整合心脏正子发射断层扫描/计算机断层扫描 (PET/CT) 影像生物标志物的人工智能 (AI) 模型显著改善了阻塞性冠状动脉疾病 (CAD) 的诊断. 这个人工智能工具为CAD提供了自动化和可解释的预测.

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