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Pediatric Radiology
Published in: Pediatric Radiology 6/2021

01-05-2021 | Artificial Intelligence | Child abuse imaging

Artificial intelligence in child abuse imaging

Authors: James I. Sorensen, Rahul M. Nikam, Arabinda K. Choudhary

Published in: Pediatric Radiology | Issue 6/2021

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Abstract

There have been rapid advances in artificial intelligence (AI) technology in recent years, and the field of diagnostic imaging is no exception. Just as digital technology revolutionized how radiology is practiced, so these new technologies also appear poised to bring sweeping change. As AI tools make the transition from the theoretical to the everyday, important decisions need to be made about how they will be applied and what their role will be in the practice of radiology. Pediatric radiology presents distinct challenges and opportunities for the application of these tools, and in this article we discuss some of these, specifically as they relate to the prediction, identification and investigation of child abuse.
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Metadata
Title
Artificial intelligence in child abuse imaging
Authors
James I. Sorensen
Rahul M. Nikam
Arabinda K. Choudhary
Publication date
01-05-2021
Publisher
Springer Berlin Heidelberg
Published in
Pediatric Radiology / Issue 6/2021
Print ISSN: 0301-0449
Electronic ISSN: 1432-1998
DOI
https://doi.org/10.1007/s00247-021-05073-0

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