Journal of Pain Research (Feb 2024)

Artificial Intelligence and Pain Medicine: An Introduction

  • Hagedorn JM,
  • George TK,
  • Aiyer R,
  • Schmidt K,
  • Halamka J,
  • D'Souza RS

Journal volume & issue
Vol. Volume 17
pp. 509 – 518

Abstract

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Jonathan M Hagedorn,1 Tony K George,2 Rohit Aiyer,3 Keith Schmidt,4 John Halamka,5 Ryan S D’Souza1 1Department of Anesthesiology and Perioperative Medicine, Division of Pain Medicine, Mayo Clinic, Rochester, MN, USA; 2Department of Physical Medicine and Rehabilitation, University Orthopedic Associates, Somerset, NJ, USA; 3Integrative Sports & Spine, Long Beach, CA, USA; 4Comprehensive Pain Management Program, St. Alexius Medical Center, Hoffman Estates, IL, USA; 5Mayo Clinic Platform, Mayo Clinic, Rochester, MN, USACorrespondence: Jonathan M Hagedorn, Department of Anesthesiology and Perioperative Medicine, Division of Pain Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA, Tel +1-507-284-9696, Fax +1-507-266-7732, Email [email protected]: Artificial intelligence was introduced 60 years ago and has evolved immensely since that time. While artificial intelligence is found in nearly all aspects of our life, the use of artificial intelligence in the healthcare industry has only recently become apparent and more widely discussed. It is expected that artificial intelligence will allow improved disease recognition, treatment optimization, cost and time savings, product development, decision making, and marketing. For pain medicine specifically, these same benefits will be translatable and we can expect better disease recognition and treatment selection. As adoption occurs with this impressive technology, it will be imperative for the pain medicine community to be informed on proper definitions and expected use cases for artificial intelligence. Our objective was to provide pain medicine physicians an overview of artificial intelligence, including important definitions to aid understanding, and to offer potential clinical applications pertinent to the specialty.Keywords: artificial intelligence, pain medicine, chronic pain, education

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