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Updated: Jan 14, 2026

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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一个可解释的机器学习模型,整合了计算机断层扫描放射学和临床特征,用于预测皮肤穿透性利切除术后的尿囊炎

Shengtao Zeng1, Zhi Cao1, Haoxiang Xu1

  • 1Department of Urology, General Hospital of Southern Theater Command, The First School of Clinical Medicine, Southern Medical University, Liuhua Road No.111, Guangzhou, 510010, China.

Biomedical engineering online
|October 22, 2025
PubMed
概括

一个新的机器学习模型使用放射性和临床数据预测皮肤透神经切除术 (PCNL) 后的泌尿突发症. 这种工具有助于早期检测和干预这一关键的术后风险.

关键词:
结石 结石是指结石的出现.通过皮肤进行神经质切除术.无线电学 (Radiomics) 是一种无线电学.沙普利的添加式解释.泌尿突发症 (urosepsis) 是一种疾病,

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