Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective

Building on a growing number of pathology labs having a full digital infrastructure for pathology diagnostics, there is a growing interest in implementing artificial intelligence (AI) algorithms for diagnostic purposes. This article provides an overview of the current status of the digital pathology...

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Autores principales: Flach, Rachel N., Fransen, Nina L., Sonnen, Andreas F. P., Nguyen, Tri Q., Breimer, Gerben E., Veta, Mitko, Stathonikos, Nikolas, van Dooijeweert, Carmen, van Diest, Paul J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140005/
https://www.ncbi.nlm.nih.gov/pubmed/35626198
http://dx.doi.org/10.3390/diagnostics12051042
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author Flach, Rachel N.
Fransen, Nina L.
Sonnen, Andreas F. P.
Nguyen, Tri Q.
Breimer, Gerben E.
Veta, Mitko
Stathonikos, Nikolas
van Dooijeweert, Carmen
van Diest, Paul J.
author_facet Flach, Rachel N.
Fransen, Nina L.
Sonnen, Andreas F. P.
Nguyen, Tri Q.
Breimer, Gerben E.
Veta, Mitko
Stathonikos, Nikolas
van Dooijeweert, Carmen
van Diest, Paul J.
author_sort Flach, Rachel N.
collection PubMed
description Building on a growing number of pathology labs having a full digital infrastructure for pathology diagnostics, there is a growing interest in implementing artificial intelligence (AI) algorithms for diagnostic purposes. This article provides an overview of the current status of the digital pathology infrastructure at the University Medical Center Utrecht and our roadmap for implementing AI algorithms in the next few years.
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spelling pubmed-91400052022-05-28 Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective Flach, Rachel N. Fransen, Nina L. Sonnen, Andreas F. P. Nguyen, Tri Q. Breimer, Gerben E. Veta, Mitko Stathonikos, Nikolas van Dooijeweert, Carmen van Diest, Paul J. Diagnostics (Basel) Review Building on a growing number of pathology labs having a full digital infrastructure for pathology diagnostics, there is a growing interest in implementing artificial intelligence (AI) algorithms for diagnostic purposes. This article provides an overview of the current status of the digital pathology infrastructure at the University Medical Center Utrecht and our roadmap for implementing AI algorithms in the next few years. MDPI 2022-04-21 /pmc/articles/PMC9140005/ /pubmed/35626198 http://dx.doi.org/10.3390/diagnostics12051042 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Flach, Rachel N.
Fransen, Nina L.
Sonnen, Andreas F. P.
Nguyen, Tri Q.
Breimer, Gerben E.
Veta, Mitko
Stathonikos, Nikolas
van Dooijeweert, Carmen
van Diest, Paul J.
Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective
title Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective
title_full Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective
title_fullStr Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective
title_full_unstemmed Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective
title_short Implementation of Artificial Intelligence in Diagnostic Practice as a Next Step after Going Digital: The UMC Utrecht Perspective
title_sort implementation of artificial intelligence in diagnostic practice as a next step after going digital: the umc utrecht perspective
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140005/
https://www.ncbi.nlm.nih.gov/pubmed/35626198
http://dx.doi.org/10.3390/diagnostics12051042
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