Practical applications of AI in body imaging.

Journal: Abdominal radiology (New York)
Published Date:

Abstract

Artificial intelligence (AI) algorithms and deep learning continue to change the landscape of radiology. New algorithms promise to enhance diagnostic accuracy, improve workflow efficiency, and automate repetitive tasks. This article provides a narrative review of the FDA-cleared AI algorithms which are commercially available in the United States as of late 2024 and targeted toward assessment of abdominopelvic organs and related diseases, evaluates potential advantages of using AI, and suggests future directions for the field.

Authors

  • Benjamin M Mervak
    University of Michigan-Ann Arbor, Ann Arbor, USA.
  • Jessica G Fried
    Department of Radiology, University of Michigan, Ann Arbor, Michigan.
  • Julian Neshewat
    University of Michigan-Ann Arbor, Ann Arbor, USA.
  • Ashish P Wasnik
    Department of Radiology, University of Michigan, Ann Arbor, Michigan.

Keywords

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