Evaluation of artificial intelligence-assisted morphological analysis for platelet count estimation.

Journal: International journal of laboratory hematology
PMID:

Abstract

INTRODUCTION: This study aims to assess the performance of the platelet count estimation using artificial intelligence technology on the MC-80 digital morphology analyzer.

Authors

  • Ping Guo
    School of Systems Science, Beijing Normal University, Beijing 100875, China. Electronic address: pguo@bnu.edu.cn.
  • Chi Zhang
    Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Dandan Liu
    Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN.
  • Ziyong Sun
    Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Jun He
    Institute of Animal Nutrition, Sichuan Agricultural University, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Key Laboratory of Animal Disease-resistant Nutrition and Feed of China Ministry of Agriculture and Rural Affairs, Key Laboratory of Animal Disease-resistant Nutrition of Sichuan Province, Ya'an, 625014, China.
  • Jianbiao Wang
    Clinical Laboratory, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.