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Pediatric Radiology
Published in: Pediatric Radiology 11/2022

Open Access 12-06-2021 | Artificial Intelligence | Artificial intelligence in pediatric radiology

How does artificial intelligence in radiology improve efficiency and health outcomes?

Authors: Kicky G. van Leeuwen, Maarten de Rooij, Steven Schalekamp, Bram van Ginneken, Matthieu J. C. M. Rutten

Published in: Pediatric Radiology | Issue 11/2022

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Abstract

Since the introduction of artificial intelligence (AI) in radiology, the promise has been that it will improve health care and reduce costs. Has AI been able to fulfill that promise? We describe six clinical objectives that can be supported by AI: a more efficient workflow, shortened reading time, a reduction of dose and contrast agents, earlier detection of disease, improved diagnostic accuracy and more personalized diagnostics. We provide examples of use cases including the available scientific evidence for its impact based on a hierarchical model of efficacy. We conclude that the market is still maturing and little is known about the contribution of AI to clinical practice. More real-world monitoring of AI in clinical practice is expected to aid in determining the value of AI and making informed decisions on development, procurement and reimbursement.
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Metadata
Title
How does artificial intelligence in radiology improve efficiency and health outcomes?
Authors
Kicky G. van Leeuwen
Maarten de Rooij
Steven Schalekamp
Bram van Ginneken
Matthieu J. C. M. Rutten
Publication date
12-06-2021
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/s00247-021-05114-8

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