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修正:使用基于AI的图像分类来预测乳腺癌治疗反应和预后

Bingyi Wang1, Shu Chen2, Wei Li3

  • 1Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, NHC Key Laboratory of Cancer Metabolism, Fuzhou, China.

Frontiers in oncology
|December 31, 2025
PubMed
概括

这项研究纠正了先前发表的一篇文章的DOI. 校正确保准确引用和检索研究结果,以改善科学沟通.

关键词:
人工智能在临床决策支持中的应用乳腺癌的预后 乳腺癌的预后潜伏动态建模 潜伏动态建模象征性的知识输入注入.预测治疗反应,预测治疗反应.

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Cancer Survival Analysis01:21

Cancer Survival Analysis

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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