Article ; Online: Artificial intelligence in child abuse imaging.
2021 Volume 51, Issue 6, Page(s) 1061–1064
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 ... ...
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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MeSH term(s) | Artificial Intelligence ; Child ; Child Abuse/diagnosis ; Diagnostic Tests, Routine ; Humans ; Radiography ; Radiology |
Language | English |
Publishing date | 2021-04-27 |
Publishing country | Germany |
Document type | Journal Article ; Review |
ZDB-ID | 124459-0 |
ISSN | 1432-1998 ; 0301-0449 |
ISSN (online) | 1432-1998 |
ISSN | 0301-0449 |
DOI | 10.1007/s00247-021-05073-0 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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