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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.

Ali Rıza ŞişmanBanu İşbilen BaşokInanc KarakoyunAyfer ÇolakUgur BilgeFerhat DemirciNuri Başoglu
Published in: American journal of clinical pathology (2024)
KANKA categorizes and records problem-free tubes according to laboratory subunits while identifying and classifying tubes with preanalytical inappropriateness into the correct error sections. As a blood acceptance and tube sorting system, KANKA has the potential to save labor and enhance the quality of the preanalytical process.
Keyphrases
  • artificial intelligence
  • quality control
  • machine learning
  • big data
  • deep learning
  • emergency department
  • adverse drug
  • risk assessment
  • drug induced