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Updated: Feb 24, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
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Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

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一种新型人工智能引导的冠状动脉计算机断层扫描算法的诊断性能,用于在性别和年龄小组中预测心肌缺血症 (AI-QCTISCHEMIA)

Putri Annisa Kamila1,2, Tara Hojjati3, Nick S Nurmohamed4,5

  • 1Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.

Journal of the Society for Cardiovascular Angiography & Interventions
|February 23, 2026
PubMed
概括

AI-QCTISCHEMIA准确地预测了不同患者群体的心肌缺血,表现优于SPECT和匹配PET. 这种人工智能工具为不同性别和年龄的缺血评估提供了可靠的非侵入性替代方案.

关键词:
人工智能的人工智能是人工智能.冠状动脉疾病是一种冠状动脉疾病.冠状动脉计算机断层扫描血管图谱

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