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Artificial intelligence in child abuse imaging.

Authors :
Sorensen JI
Nikam RM
Choudhary AK
Source :
Pediatric radiology [Pediatr Radiol] 2021 May; Vol. 51 (6), pp. 1061-1064. Date of Electronic Publication: 2021 Apr 27.
Publication Year :
2021

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.

Details

Language :
English
ISSN :
1432-1998
Volume :
51
Issue :
6
Database :
MEDLINE
Journal :
Pediatric radiology
Publication Type :
Academic Journal
Accession number :
33904953
Full Text :
https://doi.org/10.1007/s00247-021-05073-0