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Updated: May 28, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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使用机器学习和放射学预测晚期卵巢癌治疗反应和生存率:系统性审查

Sabrina Piedimonte1, Mariam Mohamed2, Gabriela Rosa3

  • 1Division of Gynecologic Oncology, Hospital Maisonneuve Rosemont, University of Montreal, Montreal, QC H3T 1J4, Canada.

Cancers
|February 13, 2025
PubMed
概括

机器学习和放射学 (ML / RM) 在预测卵巢癌治疗反应和生存方面越来越有前途. 在临床整合之前,建议在多中心试验中进一步验证.

关键词:
机器学习是机器学习.卵巢癌是发生在卵巢的癌症.无线电学 (radiomics) 是一种无线电学.治疗预测治疗预测

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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