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Updated: Feb 1, 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

Published on: October 10, 2018

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机器学习用于预测关节镜术后的结果,并发症和资源利用情况:系统性审查

Madison Lee1, Vera Zakhari2, Ajaykumar Shanmugaraj3

  • 1Rocky Vista University College of Osteopathic Medicine, Ivins, Utah, USA.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
|January 31, 2026
PubMed
概括

用于关节镜术的机器学习模型显示出对结果和并发症的不同预测性能. 由于当前研究中的结果和报告标准不一致,应谨慎对待它们的应用.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.关节关节镜检查 关节镜检查机器学习是机器学习.预测建模预测建模

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