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Updated: Jul 13, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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人工智能对乳腺癌生存率的预测:一个全面的系统审查和元分析

Zohreh Javanmard1, Saba Zarean Shahraki2, Kosar Safari3

  • 1Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.

Frontiers in oncology
|January 22, 2025
PubMed
概括

人工智能 (AI) 和机器学习 (ML) 显著提高了乳腺癌存活率预测的准确性. 未来的研究必须专注于在临床实践中对强大,可泛化模型的外部验证.

关键词:
乳腺癌 乳腺癌 乳腺癌临床数据 临床数据深度学习是一种深度学习.机器学习是机器学习.进行元分析.生存预测的预测.系统性审查 系统性审查

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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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