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Pediatric Radiology
Published in: Pediatric Radiology 11/2022

23-08-2022 | Radiology | Artificial intelligence in pediatric radiology

The requirements for performing artificial-intelligence-related research and model development

Authors: Anuj Pareek, Matthew P. Lungren, Safwan S. Halabi

Published in: Pediatric Radiology | Issue 11/2022

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Abstract

Artificial intelligence research in health care has undergone tremendous growth in the last several years thanks to the explosion of digital health care data and systems that can leverage large amounts of data to learn patterns that can be applied to clinical tasks. In addition, given broad acceleration in machine learning across industries like transportation, media and commerce, there has been a significant growth in demand for machine-learning practitioners such as engineers and data scientists, who have skill sets that can be applied to health care use cases but who simultaneously lack important health care domain expertise. The purpose of this paper is to discuss the requirements of building an artificial-intelligence research enterprise including the research team, technical software/hardware, and procurement and curation of health care data.
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Metadata
Title
The requirements for performing artificial-intelligence-related research and model development
Authors
Anuj Pareek
Matthew P. Lungren
Safwan S. Halabi
Publication date
23-08-2022
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/s00247-022-05483-8

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