乳腺外科诊疗从多学科管理，逐步迈向数字化、智能化与精准化。诊疗过程中产生的影像、病理、基因组学、临床治疗、随访及康复等多维数据，为构建全流程数字化诊疗体系提供了基础。依托人工智能（AI)、云平台、多模态影像融合及多组学整合技术，该体系可覆盖筛查诊断、治疗决策、手术规划、术后治疗及长期随访等环节，推动乳腺外科诊疗向数字化、智能化和精准化转型。

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.