Research progress of artificial intelligence based on deep learning in the diagnosis and treatment of triple-negative breast cancer
10.13315/j.cnki.cjcep.2025.04.012
- VernacularTitle: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
- Author:
Jingjiao XIAO
1
;
Yefan YANG
1
;
Shiting ZHANG
1
;
Shuning SUN
1
;
Zhihong ZHANG
1
Author Information
1. 南京医科大学第一附属医院病理科,南京 210029
- Publication Type:Journal Article
- Keywords:
artificial intelligence;
deep learning;
triple-negative breast cancer;
diagnosis and treatment
- From:
Chinese Journal of Clinical and Experimental Pathology
2025;41(4):491-497
- CountryChina
- Language:Chinese
-
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.
