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

Journal: Seminars in musculoskeletal radiology
Published Date: Jun 1, 2019

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.

Authors

  • Anna Hirschmann
    Department of Radiology and Nuclear Medicine, University Hospital Basel and University of Basel, Basel, Switzerland.
  • Joshy Cyriac
    Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
  • Bram Stieltjes
    University of Basel, University Hospital Basel, Radiology and Nuclear Medicine Clinic, Basel, Switzerland.
  • Tobias Kober
    Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland, Lausanne, Switzerland.
  • Jonas Richiardi
    Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland, Lausanne, Switzerland.
  • Patrick Omoumi
    Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland, Lausanne, Switzerland.

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