摘要
脑脊液形态学检查是诊断中枢神经系统疾病的重要手段,但人工显微镜检查存在效率低下、人员培训周期长、检验结果均质性差等不足之处。近年来,人工智能技术在医学领域的应用迅速发展,为脑脊液形态学检查提供了新的技术手段。未来,人工智能辅助的脑脊液形态学检查不仅实现数字化和网络化,同时提升脑脊液形态学智能化诊断水平和效率,在脑脊液智能辅助诊断方面具有广阔的应用前景。
Cerebrospinal fluid morphology examination is an important method of diagnosing central nervous system diseases,but manual microscopy has shortcomings such as low efficiency,long staff training period,and poor homogeneity of test results.In recent years,the application of artificial intelligence in the medical field has developed rapidly,providing new technical means for cerebrospinal fluid morphology examination.In the future,AI-assisted morphological examination of cerebrospinal fluid will not only realize digitalization and networking,but also improve the level and efficiency of intelligent diagnosis of cerebrospinal fluid morphology,which has a broad application prospect in the intelligent assisted diagnosis of cerebrospinal fluid.
作者
赵晖
陈锟
吕虹
韩思齐
赵运转
韩平
宋蓓
刘扬
霍怡杉
关明
张国军
Zhao Hui;Chen Kun;Lyu Hong;Han Siqi;Zhao Yunzhuan;Han Ping;Song Bei;Liu Yang;Huo Yishan;Guan Ming;Zhang Guojun(Laboratory Diagnosis Center,Beijing Tiantan Hospital,Capital Medical University,Beijing 100070,China;Department of Laboratory Medicine,Huashan Hospital,Fudan University,Shanghai,Shanghai 200040,China;Tumor Hospital Affiliated to Xinjiang Medical University,Clinical Laboratory Center,Urumqi 830011,China)
出处
《中华检验医学杂志》
CAS
CSCD
北大核心
2024年第5期480-485,共6页
Chinese Journal of Laboratory Medicine
基金
北京医管中心人才培养计划“登峰”项目(DFL20220505)
北京市高层次公共卫生技术人才培养计划(2022-2-013)
上海市促进产业高质量发展专项资金(2021-GZL-RGZN-01037)。
关键词
脑脊液
细胞形态学
人工智能
Cerebrospinal fluid
Cell morphology
Artificial intelligence
