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12-04-2021 | Artificial Intelligence | Artificial intelligence in pediatric radiology

Current and emerging artificial intelligence applications for pediatric abdominal imaging

Authors: Jonathan R. Dillman, Elan Somasundaram, Samuel L. Brady, Lili He

Published in: Pediatric Radiology | Issue 11/2022

Abstract

Artificial intelligence (AI) uses computers to mimic cognitive functions of the human brain, allowing inferences to be made from generally large datasets. Traditional machine learning (e.g., decision tree analysis, support vector machines) and deep learning (e.g., convolutional neural networks) are two commonly employed AI approaches both outside and within the field of medicine. Such techniques can be used to evaluate medical images for the purposes of automated detection and segmentation, classification tasks (including diagnosis, lesion or tissue characterization, and prediction), and image reconstruction. In this review article we highlight recent literature describing current and emerging AI methods applied to abdominal imaging (e.g., CT, MRI and US) and suggest potential future applications of AI in the pediatric population.

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Title: Current and emerging artificial intelligence applications for pediatric abdominal imaging
Authors: Jonathan R. Dillman
Elan Somasundaram
Samuel L. Brady
Lili He
Publication date: 12-04-2021
Publisher: Springer Berlin Heidelberg
Keyword: Artificial Intelligence
Published in: Pediatric Radiology / Issue 11/2022
Print ISSN: 0301-0449
Electronic ISSN: 1432-1998
DOI: https://doi.org/10.1007/s00247-021-05057-0

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Current and emerging artificial intelligence applications for pediatric abdominal imaging

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