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Pediatric Radiology
Published in: Pediatric Radiology 11/2022

Open Access 01-09-2021 | Tuberculosis | Artificial intelligence in pediatric radiology

Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective

Authors: Steven Schalekamp, Willemijn M. Klein, Kicky G. van Leeuwen

Published in: Pediatric Radiology | Issue 11/2022

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Abstract

Artificial intelligence (AI) applications for chest radiography and chest CT are among the most developed applications in radiology. More than 40 certified AI products are available for chest radiography or chest CT. These AI products cover a wide range of abnormalities, including pneumonia, pneumothorax and lung cancer. Most applications are aimed at detecting disease, complemented by products that characterize or quantify tissue. At present, none of the thoracic AI products is specifically designed for the pediatric population. However, some products developed to detect tuberculosis in adults are also applicable to children. Software is under development to detect early changes of cystic fibrosis on chest CT, which could be an interesting application for pediatric radiology. In this review, we give an overview of current AI products in thoracic radiology and cover recent literature about AI in chest radiography, with a focus on pediatric radiology. We also discuss possible pediatric applications.
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Metadata
Title
Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective
Authors
Steven Schalekamp
Willemijn M. Klein
Kicky G. van Leeuwen
Publication date
01-09-2021
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/s00247-021-05146-0

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