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

Journal: BMC medical informatics and decision making
Published Date: Mar 29, 2023

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 differentiation of peripheral blood.

Authors

  • Ying Xing
    Automation School, Beijing University of Posts and Telecommunications, Beijing 100876, China.
  • Xuekai Liu
    Department of Clinical Laboratory, Aerospace Center Hospital, Beijing, China.
  • Juhua Dai
    Department of Clinical Laboratory, Peking University International Hospital, Beijing, China.
  • Xiaoxing Ge
    Department of Clinical Laboratory, Miyun District Hospital, Beijing, China.
  • Qingchen Wang
    Department of Clinical Laboratory, Peking University First Hospital, Beijing, China.
  • Ziyu Hu
    Department of Clinical Laboratory, Beijing Nuclear Industry Hospital, Beijing, China.
  • Zhicheng Wu
    Department of Clinical Laboratory, Peking University Shenzhen Hospital, Shenzhen, China.
  • Xuehui Zeng
    Department of Clinical Laboratory, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
  • Dan Xu
    Department of Orthodontics, The Affiliated Stomatological Hospital of Southwest Medical University, Luzhou, China.
  • Chenxue Qu
    Department of Clinical Laboratory, Peking University First Hospital, Beijing, China. qucx2012@163.com.

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