Four Different Artificial Intelligence Models Logistic Regression to Enhance the Diagnostic Accuracy of Fecal Immunochemical Test in the Detection of Colorectal Carcinoma in a Screening Setting.

Journal: Anticancer research
Published Date: Jun 1, 2025

Abstract

BACKGROUND/AIM: This study aimed to evaluate the diagnostic accuracy (DA) of four artificial intelligence (AI) models compared to logistic regression (LR) in enhancing the performance of the fecal immunochemical test (FIT) for the detection of colorectal carcinoma (CRC).

Authors

  • Maaret Eskelinen
    Department of Surgery, Kuopio University Hospital and School of Medicine, University of Eastern Finland, Kuopio, Finland; matti.eskelinen@kuh.fi.
  • Tuomas Selander
    Science Service Center, Kuopio University Hospital, Kuopio, Finland.
  • Denise Peixoto Guimarães
    Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil.
  • Kai Kaarniranta
    Department of Ophthalmology, Kuopio University Hospital and School of Medicine, University of Eastern Finland, Kuopio, Finland.
  • Kari Syrjänen
    Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil.
  • Matti Eskelinen
    Department of Surgery, Kuopio University Hospital and School of Medicine, University of Eastern Finland, Kuopio, Finland.

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