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Updated: May 6, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Published on: October 10, 2018

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通过皮肤冠状动脉干预后风险预测的机器学习方法:系统性审查和元分析

Ammar Zaka1, Daud Mutahar2, James Gorcilov2

  • 1Department of Cardiology, Gold Coast University Hospital, 1 Hospital Boulevard, Southport, QLD 4215, Australia.

European heart journal. Digital health
|January 23, 2025
PubMed
概括

机器学习 (ML) 模型对经皮冠状动脉干预 (PCI) 后的主要不良心血管事件 (MACE) 和重大出血的预测略有改善. 由于目前临床使用的ML模型的局限性,需要进一步研究.

关键词:
人工智能的人工智能是人工智能.冠状动脉疾病是一种冠状动脉疾病.机器学习是机器学习.通过皮肤进行冠状动脉干预.

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