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

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...

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Autores principales: Leiner, Tim, Bennink, Edwin, Mol, Christian P., Kuijf, Hugo J., Veldhuis, Wouter B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7855120/
https://www.ncbi.nlm.nih.gov/pubmed/33528677
http://dx.doi.org/10.1186/s13244-020-00931-1
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author Leiner, Tim
Bennink, Edwin
Mol, Christian P.
Kuijf, Hugo J.
Veldhuis, Wouter B.
author_facet Leiner, Tim
Bennink, Edwin
Mol, Christian P.
Kuijf, Hugo J.
Veldhuis, Wouter B.
author_sort Leiner, Tim
collection PubMed
description 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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spelling pubmed-78551202021-02-11 Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure Leiner, Tim Bennink, Edwin Mol, Christian P. Kuijf, Hugo J. Veldhuis, Wouter B. Insights Imaging Educational Review 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. Springer International Publishing 2021-02-02 /pmc/articles/PMC7855120/ /pubmed/33528677 http://dx.doi.org/10.1186/s13244-020-00931-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Educational Review
Leiner, Tim
Bennink, Edwin
Mol, Christian P.
Kuijf, Hugo J.
Veldhuis, Wouter B.
Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure
title Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure
title_full Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure
title_fullStr Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure
title_full_unstemmed Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure
title_short Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure
title_sort bringing ai to the clinic: blueprint for a vendor-neutral ai deployment infrastructure
topic Educational Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7855120/
https://www.ncbi.nlm.nih.gov/pubmed/33528677
http://dx.doi.org/10.1186/s13244-020-00931-1
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