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Updated: Sep 13, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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临床和成像特征来区分复杂和无复杂的急性胆囊炎:回归模型和决策树分析

Yu Chen1, Ning Kuo1, Hui-An Lin1,2

  • 1Department of Emergency Medicine, Taipei Medical University Hospital, Taipei 110, Taiwan.

Diagnostics (Basel, Switzerland)
|July 29, 2025
PubMed
概括

使用CT扫描和生物标志物的新评分系统可以帮助医生在急诊室快速识别严重急性复杂胆囊炎 (ACC),改善患者的护理.

关键词:
霍恩斯菲尔德的一个单位.复杂的胆囊炎复杂的胆囊炎胆囊发生性变化 胆囊发生性变化胆囊的体积 胆囊的体积胆囊壁厚度 胆囊壁厚度 胆囊壁厚度

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