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Updated: Jan 21, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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使用机器学习建模预测穿皮冠状动脉干预的功能结果.

Simone Fezzi1, Yueyun Zhu2, Norma Bargary3

  • 1The Lambe Institute for Translational Medicine, the Smart Sensors Laboratory and Curam, University of Galway, Galway, Ireland; Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy.

International journal of cardiology
|January 19, 2026
PubMed
概括

机器学习使用手术前数据准确预测皮肤穿刺冠状动脉干预 (PCI) 后的定量流量比率 (μFR). 该工具有助于确定最佳的PCI结果,改善患者预后和程序规划.

关键词:
机器学习模型的机器学习模型基于穆雷定律的定量流量比率.通过皮肤进行冠状动脉干预.

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