Practical applications of AI in body imaging

Benjamin M Mervak; Jessica G Fried; Julian Neshewat; Ashish P Wasnik

doi:10.1007/s00261-025-05088-3

Practical applications of AI in body imaging

Abdom Radiol (NY). 2026 Jan;51(1):458-466. doi: 10.1007/s00261-025-05088-3. Epub 2025 Jun 27.

Authors

Benjamin M Mervak¹, Jessica G Fried¹, Julian Neshewat¹, Ashish P Wasnik²

Affiliations

¹ University of Michigan-Ann Arbor, Ann Arbor, USA.
² University of Michigan-Ann Arbor, Ann Arbor, USA. ashishw@med.umich.edu.

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.

Keywords: Algorithms; Artificial intelligence; Deep learning; Radiology; Workflow.

Publication types

Review

MeSH terms

Algorithms
Artificial Intelligence*
Deep Learning
Diagnostic Imaging* / methods
Humans
Image Interpretation, Computer-Assisted* / methods