乳腺癌数字化病理与人工智能辅助诊断OA

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.