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Pediatric Radiology
Published in: Pediatric Radiology 11/2022

Open Access 16-07-2021 | Musculoskeletal Radiology | Artificial intelligence in pediatric radiology

Current and emerging artificial intelligence applications for pediatric musculoskeletal radiology

Author: Amaka C. Offiah

Published in: Pediatric Radiology | Issue 11/2022

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Abstract

Artificial intelligence (AI) is playing an ever-increasing role in radiology (more so in the adult world than in pediatrics), to the extent that there are unfounded fears it will completely take over the role of the radiologist. In relation to musculoskeletal applications of AI in pediatric radiology, we are far from the time when AI will replace radiologists; even for the commonest application (bone age assessment), AI is more often employed in an AI-assist mode rather than an AI-replace or AI-extend mode. AI for bone age assessment has been in clinical use for more than a decade and is the area in which most research has been conducted. Most other potential indications in children (such as appendicular and vertebral fracture detection) remain largely in the research domain. This article reviews the areas in which AI is most prominent in relation to the pediatric musculoskeletal system, briefly summarizing the current literature and highlighting areas for future research. Pediatric radiologists are encouraged to participate as members of the research teams conducting pediatric radiology artificial intelligence research.
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Metadata
Title
Current and emerging artificial intelligence applications for pediatric musculoskeletal radiology
Author
Amaka C. Offiah
Publication date
16-07-2021
Publisher
Springer Berlin Heidelberg
Published in
Pediatric Radiology / Issue 11/2022
Print ISSN: 0301-0449
Electronic ISSN: 1432-1998
DOI
https://doi.org/10.1007/s00247-021-05130-8

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