人工智能在乳腺癌磁共振诊断中的研究进展  

Research progress of artificial intelligence in magnetic resonance diagnosis of breast cancer

作　　者：张雪丽 王孟瑶 杨志豪 唐祥冰 赵明[1] ZHANG Xueli;WANG Mengyao;YANG Zhihao;TANG Xiangbing;ZHAO Ming(Department of Magnetic Resonance Diagnosis,the Second Affiliated Hospital of Harbin Medical University,Harbin 150086,China)

机构地区：[1]哈尔滨医科大学附属第二医院磁共振诊断科,哈尔滨150086

出　　处：《磁共振成像》2025年第3期184-189,共6页Chinese Journal of Magnetic Resonance Imaging

摘　　要：在全球范围内,乳腺癌的发病率高居不下,对女性健康造成了重大威胁。早期筛查、诊断和治疗可显著提高乳腺癌患者的生存率。近年来,随着大数据和计算机学习算法的快速发展,人工智能(artificial intelligence,AI)技术在医学影像研究领域的广泛应用,使疾病诊断更加高效且精准。磁共振成像(magnetic resonance imaging,MRI)对于软组织有较高的分辨率,在诊断乳腺病变方面也较为灵敏,广泛应用于临床。应用AI技术处理乳腺MRI数据方面已取得了一系列成就,在不同程度上提高了乳腺癌诊断的准确性。本综述旨在总结AI技术在乳腺癌MRI诊断中的最新应用及其研究进展,为临床医生在乳腺癌诊疗过程中应用AI技术提供有价值的参考,有助于推动该领域的进一步发展。Globally,the incidence of breast cancer remains high and poses a significant threat to women's health.Early screening,diagnosis,and treatment can significantly improve the survival rate of breast cancer patients.In recent years,with the rapid development of big data and computer learning algorithms,artificial intelligence(AI) technology has been widely used in the field of medical imaging research,making disease diagnosis more efficient and accurate.Magnetic resonance imaging(MRI) has high resolution for soft tissues and is also sensitive in diagnosing breast lesions,and is widely used in clinical practice.A series of achievements have been made in the application of AI technology to process breast MRI data,which has improved the accuracy of breast cancer diagnosis to varying degrees.The purpose of this review is to summarize the latest application and research progress of AI technology in the diagnosis and treatment of breast cancer,so as to provide a valuable reference for clinicians to apply AI technology in the diagnosis and treatment of breast cancer,and help promote the further development of this field.

关 键 词：乳腺癌 人工智能 影像组学 磁共振成像 机器学习 深度学习 

分 类 号：R445.2[医药卫生—影像医学与核医学] R737.9[医药卫生—诊断学]