An artificial intelligence-driven support tool for prediction of urine culture test results.

Journal: Clinica chimica acta; international journal of clinical chemistry
PMID: 38977169

Abstract

BACKGROUND AND AIMS: We aimed to develop an easily deployable artificial intelligence (AI)-driven model for rapid prediction of urine culture test results.

Authors

  • Lieselot Dedeene
    Department of Laboratory Medicine, AZ Delta General Hospital, Roeselare, Belgium.
  • Jan Van Elslande
    Department of Laboratory Medicine, AZ Delta General Hospital, Roeselare, Belgium.
  • Jannes Dewitte
    Department of Laboratory Medicine, AZ Delta General Hospital, Roeselare, Belgium.
  • Geert Martens
    Department of Laboratory Medicine, AZ Delta General Hospital, Roeselare, Belgium.
  • Emmanuel De Laere
    Department of Laboratory Medicine, AZ Delta General Hospital, Roeselare, Belgium.
  • Peter De Jaeger
    RADar Innovation Center, AZ Delta General Hospital, Roeselare, Belgium.
  • Dieter De Smet
    Department of Laboratory Medicine, AZ Delta General Hospital, Deltalaan 1, 8800, Roeselare, Belgium.

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