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Artificial Intelligence in Pathology: From Prototype to Product
Modern image analysis techniques based on artificial intelligence (AI) have great potential to improve the quality and efficiency of diagnostic procedures in pathology and to detect novel biomarkers. Despite thousands of published research papers on applications of AI in pathology, hardly any resear...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112352/ https://www.ncbi.nlm.nih.gov/pubmed/34012717 http://dx.doi.org/10.4103/jpi.jpi_84_20 |
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author | Homeyer, André Lotz, Johannes Schwen, Lars Ole Weiss, Nick Romberg, Daniel Höfener, Henning Zerbe, Norman Hufnagl, Peter |
author_facet | Homeyer, André Lotz, Johannes Schwen, Lars Ole Weiss, Nick Romberg, Daniel Höfener, Henning Zerbe, Norman Hufnagl, Peter |
author_sort | Homeyer, André |
collection | PubMed |
description | Modern image analysis techniques based on artificial intelligence (AI) have great potential to improve the quality and efficiency of diagnostic procedures in pathology and to detect novel biomarkers. Despite thousands of published research papers on applications of AI in pathology, hardly any research implementations have matured into commercial products for routine use. Bringing an AI solution for pathology to market poses significant technological, business, and regulatory challenges. In this paper, we provide a comprehensive overview and advice on how to meet these challenges. We outline how research prototypes can be turned into a product-ready state and integrated into the IT infrastructure of clinical laboratories. We also discuss business models for profitable AI solutions and reimbursement options for computer assistance in pathology. Moreover, we explain how to obtain regulatory approval so that AI solutions can be launched as in vitro diagnostic medical devices. Thus, this paper offers computer scientists, software companies, and pathologists a road map for transforming prototypes of AI solutions into commercial products. |
format | Online Article Text |
id | pubmed-8112352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-81123522021-05-18 Artificial Intelligence in Pathology: From Prototype to Product Homeyer, André Lotz, Johannes Schwen, Lars Ole Weiss, Nick Romberg, Daniel Höfener, Henning Zerbe, Norman Hufnagl, Peter J Pathol Inform Review Article Modern image analysis techniques based on artificial intelligence (AI) have great potential to improve the quality and efficiency of diagnostic procedures in pathology and to detect novel biomarkers. Despite thousands of published research papers on applications of AI in pathology, hardly any research implementations have matured into commercial products for routine use. Bringing an AI solution for pathology to market poses significant technological, business, and regulatory challenges. In this paper, we provide a comprehensive overview and advice on how to meet these challenges. We outline how research prototypes can be turned into a product-ready state and integrated into the IT infrastructure of clinical laboratories. We also discuss business models for profitable AI solutions and reimbursement options for computer assistance in pathology. Moreover, we explain how to obtain regulatory approval so that AI solutions can be launched as in vitro diagnostic medical devices. Thus, this paper offers computer scientists, software companies, and pathologists a road map for transforming prototypes of AI solutions into commercial products. Wolters Kluwer - Medknow 2021-03-22 /pmc/articles/PMC8112352/ /pubmed/34012717 http://dx.doi.org/10.4103/jpi.jpi_84_20 Text en Copyright: © 2021 Journal of Pathology Informatics https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Review Article Homeyer, André Lotz, Johannes Schwen, Lars Ole Weiss, Nick Romberg, Daniel Höfener, Henning Zerbe, Norman Hufnagl, Peter Artificial Intelligence in Pathology: From Prototype to Product |
title | Artificial Intelligence in Pathology: From Prototype to Product |
title_full | Artificial Intelligence in Pathology: From Prototype to Product |
title_fullStr | Artificial Intelligence in Pathology: From Prototype to Product |
title_full_unstemmed | Artificial Intelligence in Pathology: From Prototype to Product |
title_short | Artificial Intelligence in Pathology: From Prototype to Product |
title_sort | artificial intelligence in pathology: from prototype to product |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112352/ https://www.ncbi.nlm.nih.gov/pubmed/34012717 http://dx.doi.org/10.4103/jpi.jpi_84_20 |
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