Artificial Intelligence in Musculoskeletal Imaging: Current Status and Future Directions.

Journal: AJR. American journal of roentgenology
Published Date:

Abstract

The objective of this article is to show how artificial intelligence (AI) has impacted different components of the imaging value chain thus far as well as to describe its potential future uses. The use of AI has the potential to greatly enhance every component of the imaging value chain. From assessing the appropriateness of imaging orders to helping predict patients at risk for fracture, AI can increase the value that musculoskeletal imagers provide to their patients and to referring clinicians by improving image quality, patient centricity, imaging efficiency, and diagnostic accuracy.

Authors

  • Soterios Gyftopoulos
    Department of Radiology, NYU Langone Health, 660 First Ave, New York, NY 10016.
  • Dana Lin
    Department of Radiology, NYU Langone Health, 660 First Ave, New York, NY 10016.
  • Florian Knoll
    Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, New York, USA.
  • Ankur M Doshi
    Department of Radiology, NYU Langone Medical Center, 660 First Avenue, 3rd Floor, New York, NY 10016.
  • Tatiane Cantarelli Rodrigues
    Department of Radiology, NYU Langone Health, 660 First Ave, New York, NY 10016.
  • Michael P Recht
    Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, New York, USA.