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Pediatric Radiology

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27.04.2021 | Child abuse imaging

Artificial intelligence in child abuse imaging

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

Erschienen in: Pediatric Radiology | Ausgabe 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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Titel: Artificial intelligence in child abuse imaging
verfasst von: James I. Sorensen
Rahul M. Nikam
Arabinda K. Choudhary
Publikationsdatum: 27.04.2021
Verlag: Springer Berlin Heidelberg
Erschienen in: Pediatric Radiology / Ausgabe 6/2021
Print ISSN: 0301-0449
Elektronische ISSN: 1432-1998
DOI: https://doi.org/10.1007/s00247-021-05073-0

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