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数据驱动的模型用于预测冠状动脉样硬化斑块进展/回归

Carlos A Bulant1,2, Gustavo A Boroni1,2, Ronald Bass3

  • 1Instituto PLADEMA, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN), Tandil, Buenos Aires, Argentina.

Scientific reports
|January 17, 2024
PubMed
概括

这项研究开发了一种机器学习模型,使用血管内超声波 (IVUS) 成像来预测在罗斯瓦斯塔丁治疗后冠状动脉斑块的变化. 该模型准确地预测了斑块的进展或回归,有助于患者风险分层.

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