Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations.

Journal: RMD open
Published Date:

Abstract

OBJECTIVE: To assess the current use of big data and artificial intelligence (AI) in the field of rheumatic and musculoskeletal diseases (RMDs).

Authors

  • Joanna Kedra
    Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), UMR S 1136, Sorbonne Universite, Paris, France.
  • Timothy Radstake
    Department of Rheumatology, Clinical Immunology and Laboratory for Translational Immunology, University of Utrecht Faculty of Medicine, Utrecht, The Netherlands.
  • Aridaman Pandit
    Department of Rheumatology, Clinical Immunology and Laboratory for Translational Immunology, University of Utrecht Faculty of Medicine, Utrecht, The Netherlands.
  • Xenofon Baraliakos
    Herne, Ruhr-University, Rheumazentrum Ruhrgebiet, Bochum, Germany.
  • Francis Berenbaum
    Rheumatology Department, Hospital Saint-Antoine, APHP, Paris, Île-de-France, France.
  • Axel Finckh
    Division of Rheumatology, University Hospital of Geneva, Geneva, Switzerland.
  • Bruno Fautrel
    Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), UMR S 1136, Sorbonne Universite, Paris, France.
  • Tanja A Stamm
    Section for Outcomes Research, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
  • David Gomez-Cabrero
    Departamento de Salud-Universidad Pública de Navarra, Translational Bioinformatics Unit, Navarra Biomed, Pamplona, Spain.
  • Christian Pristipino
    Interventional Cardiology Department, Ospedale San Filippo Neri, Rome, Italy.
  • Remy Choquet
    Orange e-Health, INSERM U1142, Paris, France.
  • Hervé Servy
    e-Health Services, Sanoïa, Gardanne, France.
  • Simon Stones
    School of Healthcare, University of Leeds, Leeds, West Yorkshire, UK.
  • Gerd Burmester
    Department of Rheumatology and Clinical Immunology, Charité - University Medicine Berlin, Berlin, Germany.
  • Laure Gossec
    Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), UMR S 1136, Sorbonne Universite, Paris, France.