乳腺外科数字化诊疗体系的构建与方向OA
Construction and direction of a digital diagnosis and treatment system in breast surgery
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.
陈小松;沈坤炜
上海交通大学医学院附属瑞金医院普外科 乳腺疾病诊治中心,上海 200025上海交通大学医学院附属瑞金医院普外科 乳腺疾病诊治中心,上海 200025
医药卫生
乳腺外科数字化诊疗人工智能多组学
Breast surgeryDigital diagnosis and treatmentArtificial intelligence(AI)Multi-omics
《外科理论与实践》 2026 (3)
183-184,2
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