Breast surgery diagnosis and treatment is gradually transitioning from multi-disciplinary management to digital, intelligent, and precision-based care. Multidimensional data generated during the diagnosis and treatment process—including imaging, pathology, genomics, clinical treatment, follow-up, and rehabilitation provides the foundation for a full-process digital diagnosis and treatment system. Supported by artificial intelligence (AI), cloud platforms, multimodal imaging fusion, and multi-omics integration, this system can cover screening, diagnosis, treatment decision-making, surgical planning, postoperative treatment, and long-term follow-up, thereby paving the way for the digital, intelligent, and precision-based transformation of breast surgery.