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Published in: Insights into Imaging 1/2021

Open Access 01-12-2021 | Artificial Intelligence | Educational Review

Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure

Authors: Tim Leiner, Edwin Bennink, Christian P. Mol, Hugo J. Kuijf, Wouter B. Veldhuis

Published in: Insights into Imaging | Issue 1/2021

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Abstract

AI provides tremendous opportunities for improving patient care, but at present there is little evidence of real-world uptake. An important barrier is the lack of well-designed, vendor-neutral and future-proof infrastructures for deployment. Because current AI algorithms are very narrow in scope, it is expected that a typical hospital will deploy many algorithms concurrently. Managing stand-alone point solutions for all of these algorithms will be unmanageable. A solution to this problem is a dedicated platform for deployment of AI. Here we describe a blueprint for such a platform and the high-level design and implementation considerations of such a system that can be used clinically as well as for research and development. Close collaboration between radiologists, data scientists, software developers and experts in hospital IT as well as involvement of patients is crucial in order to successfully bring AI to the clinic.
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Metadata
Title
Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure
Authors
Tim Leiner
Edwin Bennink
Christian P. Mol
Hugo J. Kuijf
Wouter B. Veldhuis
Publication date
01-12-2021
Publisher
Springer International Publishing
Published in
Insights into Imaging / Issue 1/2021
Electronic ISSN: 1869-4101
DOI
https://doi.org/10.1186/s13244-020-00931-1

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