Using artificial intelligence in a primary care setting to identify patients at risk for cancer: a risk prediction model based on routine laboratory tests.

Journal: Clinical chemistry and laboratory medicine
Published Date: Nov 30, 2022

Abstract

OBJECTIVES: To evaluate the ability of an artificial intelligence (AI) model to predict the risk of cancer in patients referred from primary care based on routine blood tests. Results obtained with the AI model are compared to results based on logistic regression (LR).

Authors

  • Patricia Diana Soerensen
    Department of Clinical Biochemistry and Immunology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark.
  • Henry Christensen
    Department of Clinical Biochemistry and Immunology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark.
  • Soeren Gray Worsoe Laursen
    The Danish Cancer Society, Copenhagen, Denmark.
  • Christian Hardahl
    SAS Institute A/S, Aarhus, Denmark.
  • Ivan Brandslund
    Department of Regional Health Research, University of Southern Denmark, Odense, Denmark.
  • Jonna Skov Madsen
    Department of Clinical Biochemistry and Immunology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark.

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