Artificial intelligence in musculoskeletal applications: a primer for radiologists.

Journal: Diagnostic and interventional radiology (Ankara, Turkey)
PMID: 39157958

Abstract

As an umbrella term, artificial intelligence (AI) covers machine learning and deep learning. This review aimed to elaborate on these terms to act as a primer for radiologists to learn more about the algorithms commonly used in musculoskeletal radiology. It also aimed to familiarize them with the common practices and issues in the use of AI in this domain.

Authors

  • Michelle W Tong
    Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.
  • Jiamin Zhou
    Department of Radiology and Biomedical Imaging, School of Medicine, University of California, San Francisco, San Francisco, CA, United States.
  • Zehra Akkaya
    Ankara University, School Of Medicine, Radiology, Ankara, Turkey.
  • Sharmila Majumdar
    Department of Radiology and Biomedical Imaging, University of California San Francisco, 1700 4th Street, Byers Hall, Suite 203, Room 203D, San Francisco, CA 94158, USA.
  • Rupsa Bhattacharjee
    Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.

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