Monitoring performance of clinical artificial intelligence in health care: a scoping review.

Journal: JBI evidence synthesis
Published Date: Dec 1, 2024

Abstract

OBJECTIVE: The objective of this review was to provide an overview of the diverse methods described, tested, or implemented for monitoring performance of clinical artificial intelligence (AI) systems, while also summarizing the arguments given for or against these methods.

Authors

  • Eline Sandvig Andersen
    Department of Biochemistry and Immunology, Lillebaelt Hospital, Vejle, Denmark.
  • Johan Baden Birk-Korch
    Department of Biochemistry and Immunology, Lillebaelt Hospital, Vejle, Denmark.
  • Rasmus Søgaard Hansen
    Clinical Biochemistry Unit, Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
  • Line Haugaard Fly
    Department of Biochemistry and Immunology, Lillebaelt Hospital - University Hospital of Southern Denmark, Vejle, Denmark.
  • Richard Röttger
    Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
  • Diana Maria Cespedes Arcani
    Department of Thoracic Surgery, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
  • Claus Lohman Brasen
    Department of Biochemistry and Immunology, Lillebaelt Hospital, Vejle, 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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