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Updated: Jun 11, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于人工智能驱动的MRI模型的开发和外部验证,以改善前列腺癌患者损伤特异性前列腺外延伸的预测

Ingeborg van den Berg1,2,3, Timo F W Soeterik1,2, Erik J R J van der Hoeven4

  • 1Department of Urology, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands.

Cancers
|November 25, 2023
PubMed
概括

使用新型MRI放射学的人工智能 (AI) 模型显著提高了前列腺癌 (PCa) 超前列腺延伸 (EPE) 在病变特异水平的检测,超过了传统的放射性报告.

关键词:
人工智能的人工智能是人工智能.额外前列腺延伸 (EPE)机器学习是机器学习.磁共振成像 (MRI) 的使用.前列腺癌 (PCa) 是一种癌症.无线电学 (radiomics) 是一种无线电学.

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Imaging Studies IV: Magnetic Resonance Imaging01:27

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