外科理论与实践2026，Vol.31Issue(3)：204-211,8.DOI:10.16139/j.1007-9610.2026.03.05
乳腺癌数字化病理与人工智能辅助诊断
Digital pathology and artificial intelligence-assisted diagnosis in breast cancer
阮淼 1费晓春 1笪倩1
作者信息
- 1. 上海交通大学医学院附属瑞金医院病理科,上海 200025
- 折叠
摘要
Abstract
Breast cancer is the most common malignancy among women worldwide.In recent years,with the rapid development of artificial intelligence(AI)technology,foundation models in pathology have shown great potential in the diagnosis and treatment of breast cancer.This article provided a systematic overview of the current state and future directions of digital pathology and AI-assisted diagnosis for breast cancer from four dimensions:technical architecture,clinical applications,frontier explorations,and ethical challenges.We focused on the latest advances in pathology foundation models such as Virchow,UNI,and CONCH in downstream tasks including histological grading,HER2 scoring,and genotype prediction,discussed breakthroughs of multimodal generative AI systems like PathChat and SlideSeek in promoting interpretable diagnosis,and provided perspectives on emerging directions such as spatial transcriptomics integration and three-dimensional(3D)pathology reconstruction.关键词
乳腺癌/数字化病理/人工智能/基础大模型/病理诊断Key words
Breast cancer/Digital pathology/Artificial intelligence(AI)/Foundation model/Pathological diagnosis分类
医药卫生引用本文复制引用
阮淼,费晓春,笪倩..乳腺癌数字化病理与人工智能辅助诊断[J].外科理论与实践,2026,31(3):204-211,8.
