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Pediatric Radiology
Erschienen in: Pediatric Radiology 11/2022

27.05.2021 | Artificial intelligence in pediatric radiology

The current and future roles of artificial intelligence in pediatric radiology

verfasst von: Jeffrey P. Otjen, Michael M. Moore, Erin K. Romberg, Francisco A. Perez, Ramesh S. Iyer

Erschienen in: Pediatric Radiology | Ausgabe 11/2022

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Abstract

Artificial intelligence (AI) is a broad and complicated concept that has begun to affect many areas of medicine, perhaps none so much as radiology. While pediatric radiology has been less affected than other radiology subspecialties, there are some well-developed and some nascent applications within the field. This review focuses on the use of AI within pediatric radiology for image interpretation, with descriptive summaries of the literature to date. We highlight common features that enable successful application of the technology, along with some of the limitations that can inhibit the development of this field. We present some ideas for further research in this area and challenges that must be overcome, with an understanding that technology often advances in unpredictable ways.
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Metadaten
Titel
The current and future roles of artificial intelligence in pediatric radiology
verfasst von
Jeffrey P. Otjen
Michael M. Moore
Erin K. Romberg
Francisco A. Perez
Ramesh S. Iyer
Publikationsdatum
27.05.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Pediatric Radiology / Ausgabe 11/2022
Print ISSN: 0301-0449
Elektronische ISSN: 1432-1998
DOI
https://doi.org/10.1007/s00247-021-05086-9

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