Cracking the Chronic Pain code: A scoping review of Artificial Intelligence in Chronic Pain research.

Journal: Artificial intelligence in medicine
Published Date: Mar 21, 2024

Abstract

OBJECTIVE: The aim of this review is to identify gaps and provide a direction for future research in the utilization of Artificial Intelligence (AI) in chronic pain (CP) management.

Authors

  • Md Asif Khan
    Department of Electrical and Computer Engineering at McMaster University, Hamilton, ON L8S 4K1, Canada.
  • Ryan G L Koh
    Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada. KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, M5G 2A2, Canada.
  • Sajjad Rashidiani
    Department of Electrical and Computer Engineering at McMaster University, Hamilton, ON L8S 4K1, Canada.
  • Theodore Liu
    Department of Electrical and Computer Engineering at McMaster University, Hamilton, ON L8S 4K1, Canada.
  • Victoria Tucci
    Faculty of Health Sciences at McMaster University, Hamilton, ON L8S 4K1, Canada.
  • Dinesh Kumbhare
    Department of Medicine, Division of Physical Medicine and Rehabilitation, University of Toronto, Toronto, Ontario, Canada.
  • Thomas E Doyle
    Vector Institute, Toronto, ON M5G 1M1, Canada.

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