基于人工智能技术的骨髓细胞形态学辅助诊断研究进展  

Research progress on artificial intelligence in assisting diagnosis of bone marrow cell morphology

作　　者：王驰[1] 刘邵梅 李绵洋[1] WANG Chi;LIU Shaomei;LI Mianyang(Department of Clinical Laboratory,the First Medical Center of Chinese People's Liberation Army General Hospital,Beijing 100853,China)

机构地区：[1]解放军总医院第一医学中心检验科,北京100853

出　　处：《检验医学》2025年第1期8-14,共7页Laboratory Medicine

摘　　要：血液系统肿瘤的诊断需要综合考虑临床表现和骨髓细胞形态学、遗传学免疫表型相关检查检测结果,其中骨髓细胞形态学检查结果是部分血液系统疾病形态学诊断的“金标准”。随着组织图像分析和人工智能(AI)技术在临床的广泛应用,基于AI开发的自动图像处理系统在骨髓细胞形态学检查中表现出极大的优势,可以在提高形态学诊断效率和质量的同时大大降低人力成本,并进一步使检测结果具有一致性和可比性。文章综述AI在骨髓细胞形态学识别及其应用于血液系统疾病诊断的最新进展,并探讨AI在未来临床试验和血液系统肿瘤诊断中的重要价值,以及面临的挑战。The diagnosis of hematologic neoplasms requires comprehensive consideration of clinical manifestations,bone marrow cell morphology,genetics and immune phenotypes.However,bone marrow cell morphology examination is regarded as the gold standard for morphological diagnosis of most hematologic diseases.With the widespread application of tissue image analysis and artificial intelligence(AI)in clinical practice,the automatic image processing system developed using AI demonstrates significant advantages in the bone marrow cell morphology,which can improve the efficiency and quality of morphological diagnosis,reduce labor costs,and enhance the consistency and comparability of determination results.This review focuses on the latest progress in AI's identification of bone marrow cell morphology and its application in the diagnosis of hematologic neoplasms,as well as discusses the challenges and value that AI faces in the future clinical trials and diagnostics.

关 键 词：人工智能 骨髓 细胞形态学 血液系统肿瘤 

分 类 号：R446.19[医药卫生—诊断学]