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Microbiology 2.0–A “behind the scenes” consideration for artificial intelligence applications for interpretive culture plate reading in routine diagnostic laboratories

Laboratory automation with Artificial Intelligence (AI) features have now emerged into routine diagnostic clinical use to interpret growth on agar plates. Applications are currently limited to urine samples and infection control screens, yet some of the details around the development of algorithms r...

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Detalles Bibliográficos
Autores principales: DeYoung, B., Morales, M., Giglio, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386241/
https://www.ncbi.nlm.nih.gov/pubmed/35992715
http://dx.doi.org/10.3389/fmicb.2022.976068
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author DeYoung, B.
Morales, M.
Giglio, S.
author_facet DeYoung, B.
Morales, M.
Giglio, S.
author_sort DeYoung, B.
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description Laboratory automation with Artificial Intelligence (AI) features have now emerged into routine diagnostic clinical use to interpret growth on agar plates. Applications are currently limited to urine samples and infection control screens, yet some of the details around the development of algorithms remain entrenched with AI development specialists and are not well understood by laboratorians. The generation of algorithms is not a trivial task and is a highly structured process, with several considerations needed to develop the appropriate data for specific intended uses. Understanding these considerations highlights the limitations of any algorithm created and informs better design practices so that algorithm objectives can be thoroughly tested prior to routine use.
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spelling pubmed-93862412022-08-19 Microbiology 2.0–A “behind the scenes” consideration for artificial intelligence applications for interpretive culture plate reading in routine diagnostic laboratories DeYoung, B. Morales, M. Giglio, S. Front Microbiol Microbiology Laboratory automation with Artificial Intelligence (AI) features have now emerged into routine diagnostic clinical use to interpret growth on agar plates. Applications are currently limited to urine samples and infection control screens, yet some of the details around the development of algorithms remain entrenched with AI development specialists and are not well understood by laboratorians. The generation of algorithms is not a trivial task and is a highly structured process, with several considerations needed to develop the appropriate data for specific intended uses. Understanding these considerations highlights the limitations of any algorithm created and informs better design practices so that algorithm objectives can be thoroughly tested prior to routine use. Frontiers Media S.A. 2022-08-04 /pmc/articles/PMC9386241/ /pubmed/35992715 http://dx.doi.org/10.3389/fmicb.2022.976068 Text en Copyright © 2022 DeYoung, Morales and Giglio. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
DeYoung, B.
Morales, M.
Giglio, S.
Microbiology 2.0–A “behind the scenes” consideration for artificial intelligence applications for interpretive culture plate reading in routine diagnostic laboratories
title Microbiology 2.0–A “behind the scenes” consideration for artificial intelligence applications for interpretive culture plate reading in routine diagnostic laboratories
title_full Microbiology 2.0–A “behind the scenes” consideration for artificial intelligence applications for interpretive culture plate reading in routine diagnostic laboratories
title_fullStr Microbiology 2.0–A “behind the scenes” consideration for artificial intelligence applications for interpretive culture plate reading in routine diagnostic laboratories
title_full_unstemmed Microbiology 2.0–A “behind the scenes” consideration for artificial intelligence applications for interpretive culture plate reading in routine diagnostic laboratories
title_short Microbiology 2.0–A “behind the scenes” consideration for artificial intelligence applications for interpretive culture plate reading in routine diagnostic laboratories
title_sort microbiology 2.0–a “behind the scenes” consideration for artificial intelligence applications for interpretive culture plate reading in routine diagnostic laboratories
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386241/
https://www.ncbi.nlm.nih.gov/pubmed/35992715
http://dx.doi.org/10.3389/fmicb.2022.976068
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