Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood

Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood

Abstract Background and objective Morphological identification of peripheral leukocytes is a complex and time-consuming task, having especially high requirements for personnel expertise. This study is to investigate the role of artificial intelligence (AI) in assisting the manual leukocyte different...

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Bibliographic Details
Main Authors: Ying Xing, Xuekai Liu, Juhua Dai, Xiaoxing Ge, Qingchen Wang, Ziyu Hu, Zhicheng Wu, Xuehui Zeng, Dan Xu, Chenxue Qu
Format: Article
Language:English
Published: BMC 2023-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Accuracy
Artificial intelligence
Digital morphology analyzer
Leukocyte differentiation
Sensitivity
Specificity
Online Access:https://doi.org/10.1186/s12911-023-02153-z

Internet

https://doi.org/10.1186/s12911-023-02153-z

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