Assessing the Emergence and Evolution of Artificial Intelligence and Machine Learning Research in Neuroradiology.

Journal: AJNR. American journal of neuroradiology
Published Date:

Abstract

BACKGROUND AND PURPOSE: Interest in artificial intelligence (AI) and machine learning (ML) has been growing in neuroradiology, but there is limited knowledge on how this interest has manifested into research and specifically, its qualities and characteristics. This study aims to characterize the emergence and evolution of AI/ML articles within neuroradiology and provide a comprehensive overview of the trends, challenges, and future directions of the field.

Authors

  • Alexandre Boutet
    Joint Department of Medical Imaging, University of Toronto, Toronto, Canada.
  • Samuel S Haile
    Temerty Faculty of Medicine (S.S.H., H.J.S., M.M.), University of Toronto, Toronto, Ontario, Canada.
  • Andrew Z Yang
    Division of Neurosurgery, Department of Surgery (A.Z.Y., J.G., A.V.), Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada.
  • Hyo Jin Son
    Temerty Faculty of Medicine (S.S.H., H.J.S., M.M.), University of Toronto, Toronto, Ontario, Canada.
  • Mikail Malik
    Temerty Faculty of Medicine (S.S.H., H.J.S., M.M.), University of Toronto, Toronto, Ontario, Canada.
  • Vivek Pai
    Division of Neuroradiology, Department of Diagnostic Imaging (V.P., B.B.E.-W.), The Hospital for Sick Children, Toronto, Ontario, Canada.
  • Mehran Nasralla
    From the Joint Department of Medical Imaging (A.B., M.N.), University Health Network, University of Toronto, Toronto, Ontario, Canada.
  • Jurgen Germann
    Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada.
  • Artur Vetkas
    Division of Neurosurgery, Department of Surgery (A.Z.Y., J.G., A.V.), Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada.
  • Farzad Khalvati
    Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada. farzad.khalvati@utoronto.ca.
  • Birgit B Ertl-Wagner
    From the Department of Radiology, University of Wisconsin Madison School of Medicine and Public Health, 600 Highland Dr, Madison, WI 53792 (D.A.B., M.L.S.); Department of Radiology, New York University, New York, NY (L.M.); Department of Musculoskeletal Radiology (M.A.B.) and Institute for Technology Assessment (E.F.H.), Massachusetts General Hospital, Boston, Mass; Department of Medical Imaging, Hospital for Sick Children, University of Toronto, Toronto, Canada (B.B.E.W.); Department of Radiology, University of California-San Diego, San Diego, Calif (K.J.F.); Department of Cancer Imaging, Division of Imaging Sciences & Biomedical Engineering, Kings College London, London, England (V.J.G.); Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, Calif (C.P.H.); and Department of Radiology and Radiologic Science, The Johns Hopkins University School of Medicine, Baltimore, Md (C.R.W.).