Using artificial intelligence algorithms to identify existing knowledge within the back pain literature.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Published Date: Aug 1, 2020

Abstract

PURPOSE: Artificial intelligence algorithms can now identify hidden data patterns within the scientific literature. In 2019, these algorithms identified a thermoelectric material within the pre-2009 chemistry literature; years before its discovery in 2012. This approach inspired us to apply this algorithm to the back pain literature as the cause of back pain remains unknown in 90% of cases.

Authors

  • G N Kawchuk
    Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Canada. greg.kawchuk@ualberta.ca.
  • R Guan
    Department of Mechanical Engineering, Faculty of Engineering, University of Alberta, Edmonton, Canada.
  • C Keen
    Department of Mechanical Engineering, Faculty of Engineering, University of Alberta, Edmonton, Canada.
  • B Hauer
    Department of Computing Science, Faculty of Science, University of Alberta, Edmonton, Canada.
  • G Kondrak
    Department of Computing Science, Faculty of Science, University of Alberta, Edmonton, Canada.

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