USE OF ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS AND TREATMENT OF ORTHOPEDIC DISEASES: LITERATURE REVIEW.

Journal: Georgian medical news
PMID: 39580822

Abstract

INTRODUCTION: Artificial intelligence techniques such as machine learning have made it possible to create neural networks for the recognition of MRI and X-ray images, which has improved the diagnosis and treatment of orthopedic diseases. The purpose of our review was to synthesize and analyze publications on the use of artificial intelligence in the diagnosis and treatment of diseases of the musculoskeletal system.

Authors

  • Y Prudnikov
    1Scientific Department, Institute of Medical Sciences, WSB University, Dąbrowa Górnicza, Poland.
  • O Yuryk
    2Laboratory, Laboratory of Neuroorthopedics and Pain Problems, SI "The Institute of Traumatology and Orthopedics" by the National Academy of Medical Sciences of Ukraine, Kyiv, Ukraine.
  • M Sosnov
    3Bogomolets National Medical University, Kyiv, Ukraine.
  • A Stashkevych
    4Spine Surgery Department with the Spinal Neurosurgical Center, State Institution "Institute of Traumatology and Orthopedics of the National Academy of Medical Sciences of Ukraine", Kyiv, Ukraine.
  • S Martsyniak
    5Department of Pediatric Surgery, Orthopedics and Traumatology of P.L. Shupyk National University of Health Care of Ukraine, Kyiv, Ukraine.

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