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08-09-2021 | Artificial Intelligence | Artificial intelligence in pediatric radiology

Introduction to the artificial intelligence in pediatric radiology imaging special issue

Authors: Amaka C. Offiah, Safwan Halabi

Published in: Pediatric Radiology | Issue 11/2022

Excerpt

What should be included in a list of things people either love or hate (or love to hate): skinny jeans, marmite, Facebook status updates, giving evidence in court, artificial intelligence (AI)? Alas, for the “haters,” something else that these things all have in common? They’re here to stay, yes, even (perhaps especially) AI. According to Sukant Ratnakar (author of Open the Windows), “The biggest fear of life is the fear of change” [1]. It is probable that the haters of AI fear a disruption to the working lives of radiologists, or even worse — a complete replacement of radiologists by machines. …

Ratnakar S (2011) Open the windows. Hay House India, New Delhi

Goodreads (2021) Eliezer Yudkowsky: quotable quote: “By far the greatest danger of artificial intelligence is that people conclude too early that they understand it.” https://www.goodreads.com/quotes/1228197-by-far-the-greatest-danger-of-artificial-intelligence-is-that. Accessed 13 Aug 2021

Larson DB, Chen MC, Lungren MP et al (2018) Performance of a deep neural network learning model in assessing skeletal maturity on pediatric hand radiographs. Radiology 287:313–322CrossRef

The Famous People (n.d.) 11 notable Claude Shannon quotes for the techno geek. https://quotes.thefamouspeople.com/claude-shannon-8078.php. Accessed 13 Aug 2021

Title: Introduction to the artificial intelligence in pediatric radiology imaging special issue
Authors: Amaka C. Offiah
Safwan Halabi
Publication date: 08-09-2021
Publisher: Springer Berlin Heidelberg
Keywords: Artificial Intelligence
Pediatric Radiology
Pediatric Radiology
Published in: Pediatric Radiology / Issue 11/2022
Print ISSN: 0301-0449
Electronic ISSN: 1432-1998
DOI: https://doi.org/10.1007/s00247-021-05193-7

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Introduction to the artificial intelligence in pediatric radiology imaging special issue

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