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Updated: Feb 8, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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临床放射学机器学习模型用于外围动脉疾病的非侵入性诊断和分层:一个多中心研究

Bowen Hou1, Jinhan Qiao2, Zheng Ran1

  • 1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong, University of Science and Technology, Wuhan, Hubei Province, China.

International journal of medical informatics
|February 6, 2026
PubMed
概括

使用临床和基于CT的放射特征的机器学习模型可以改善外周动脉疾病 (PAD) 诊断. 组合模型准确地识别了PAD严重程度,为早期检测提供了一个非侵入性和可解释的工具.

关键词:
身体组成 身体组成计算机断层扫描 (CT) 是一种计算机断层扫描.机器学习是机器学习.肌肉 肌肉 肌肉 肌肉周围动脉疾病是什么?

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