A multinational study on artificial intelligence adoption: Clinical implementers' perspectives.

Journal: International journal of medical informatics
Published Date: Feb 15, 2024

Abstract

BACKGROUND: Despite substantial progress in AI research for healthcare, translating research achievements to AI systems in clinical settings is challenging and, in many cases, unsatisfactory. As a result, many AI investments have stalled at the prototype level, never reaching clinical settings.

Authors

  • Luis Marco-Ruiz
    Norwegian Centre for e-Health Research, University Hospital of North Norway, P.O. Box 35, N-9038 Tromsø, Norway; Department of Clinical Medicine, Faculty of Health Sciences, UIT The Arctic University of Norway, 9037 Tromsø, Norway. Electronic address: Luis.Marco.Ruiz@telemed.no.
  • Miguel Ángel Tejedor Hernández
    Norwegian Centre for E-Health Research, University Hospital of North Norway, Tromsø, Norway.
  • Phuong Dinh Ngo
    Norwegian Centre for E-Health Research, 9019 Tromsø, Norway.
  • Alexandra Makhlysheva
    Norwegian Centre for E-Health Research, 9019 Tromsø, Norway.
  • Therese Olsen Svenning
    Norwegian Centre for E-Health Research, 9019 Tromsø, Norway.
  • Kari Dyb
    Norwegian Centre for E-Health Research, University Hospital of North Norway, Tromsø, Norway.
  • Taridzo Chomutare
    Norwegian Centre for E-Health Research, 9019 Tromsø, Norway.
  • Carlos Fernández Llatas
    Instituto de las Tecnologías de la Información y las Comunicaciones (ITACA), Universitat Politècnica de València (UPV), Valencia, Spain.
  • Jorge Munoz-Gama
    Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, Santiago 7820436, Chile.
  • Maryam Tayefi
    Department of Modern Sciences and Technologies, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

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