Measuring the performance of an artificial intelligence-based robot that classifies blood tubes and performs quality control in terms of preanalytical errors: A preliminary study.

Journal: American journal of clinical pathology
Published Date: Jun 3, 2024

Abstract

OBJECTIVES: Artificial intelligence-based robotic systems are increasingly used in medical laboratories. This study aimed to test the performance of KANKA (Labenko), a stand-alone, artificial intelligence-based robot that performs sorting and preanalytical quality control of blood tubes.

Authors

  • Ali Rıza Şişman
    Faculty of Medicine, Department of Medical Biochemistry, Dokuz Eylül University, Izmir, Turkey.
  • Banu İşbilen Başok
    Izmir Faculty of Medicine, Department of Medical Biochemistry, University of Health Sciences Turkey, Konak, Izmir, Turkey.
  • İnanç Karakoyun
    Izmir Faculty of Medicine, Department of Medical Biochemistry, University of Health Sciences Turkey, Yenişehir, Izmir, Turkey.
  • Ayfer Çolak
    Izmir Faculty of Medicine, Department of Medical Biochemistry, University of Health Sciences Turkey, Yenişehir, Izmir, Turkey.
  • Uğur Bilge
    Faculty of Medicine, Department of Biostatistics and Medical Informatics, Akdeniz University, Antalya, Turkey.
  • Ferhat Demirci
    From the Clinical Biochemistry Laboratory, Dr Suat Seren Chest Disease and Thoracic Surgery Training and Research Hospital, Izmir, Turkey; Department of Neurosciences, The Institute of Health Sciences drferhat5505@hotmail.com.
  • Nuri Başoglu
    Izmir Institute of Technology, Urla, Izmir, Turkey.

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