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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
|November 6, 2025
PubMed
概括

这项研究引入了一种新的AI框架,用于预测乳腺癌治疗反应. 动态感知深度学习模型通过捕捉时间患者数据复杂性来改进个性化医疗.

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 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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