临床与实验病理学杂志2025，Vol.41Issue(4)：491-497,7.DOI:10.13315/j.cnki.cjcep.2025.04.012
基于深度学习的人工智能在三阴型乳腺癌诊疗中的研究进展
Research progress of artificial intelligence based on deep learning in the diagnosis and treatment of triple-negative breast cancer
肖菁娇 1杨野梵 1张诗婷 1孙书凝 1张智弘1
作者信息
- 1. 南京医科大学第一附属医院病理科,南京 210029
- 折叠
摘要
Abstract
In recent years,artificial intelligence(AI)technologies,particularly those represented by deep learn-ing,have demonstrated tremendous potential in the advancement of medical applications.This article reviews recent re-search progress in AI applications for the diagnosis and treatment of triple-negative breast cancer,aiming to inform the development of clinically relevant AI algorithms that align with real-world practice scenarios.The ultimate objectives in-clude enhancing diagnostic accuracy through efficient computational approaches,reducing manual labor burdens,im-proving patient prognosis,and facilitating the identification of therapeutic targets in oncology through AI-driven predic-tive modeling.关键词
人工智能/深度学习/三阴型乳腺癌/诊疗Key words
artificial intelligence/deep learning/triple-negative breast cancer/diagnosis and treatment分类
医药卫生引用本文复制引用
肖菁娇,杨野梵,张诗婷,孙书凝,张智弘..基于深度学习的人工智能在三阴型乳腺癌诊疗中的研究进展[J].临床与实验病理学杂志,2025,41(4):491-497,7.
