Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends

Semin Musculoskelet Radiol. 2019 Jun;23(3):304-311. doi: 10.1055/s-0039-1684024. Epub 2019 Jun 4.

Abstract

Artificial intelligence (AI) has gained major attention with a rapid increase in the number of published articles, mostly recently. This review provides a general understanding of how AI can or will be useful to the musculoskeletal radiologist. After a brief technical background on AI, machine learning, and deep learning, we illustrate, through examples from the musculoskeletal literature, potential AI applications in the various steps of the radiologist's workflow, from managing the request to communication of results. The implementation of AI solutions does not go without challenges and limitations. These are also discussed, as well as the trends and perspectives.

Publication types

  • Review

MeSH terms

  • Artificial Intelligence*
  • Humans
  • Image Interpretation, Computer-Assisted / methods*
  • Magnetic Resonance Imaging / methods*
  • Musculoskeletal Diseases / diagnostic imaging*
  • Musculoskeletal System / diagnostic imaging
  • Radiology / methods*