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Updated: Jan 9, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

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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机器学习和人工智能在临床试验中的当前应用和未来挑战:范围审查

Ajsi Kanapari1, Giulia Lorenzoni1, Honoria Ocagli1

  • 1Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy.

Digital health
|December 8, 2025
PubMed
概括

机器学习 (ML) 和人工智能 (AI) 应用在临床试验 (CT) 中未得到充分利用,尽管它们有提高效率的潜力. 本综述量化了跨CT阶段的ML/AI使用情况,揭示了潜在和实际实施之间的差距.

关键词:
机器学习 机器学习适应性试验设计 适应性试验设计分析 分析 分析人工智能的人工智能是人工智能.临床试验设计 临床试验设计行为行为行为行为.设计 设计 设计 设计机会 机会 机会 机会随机对照试验是随机对照试验.报告准则 报告准则

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