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Integrating artificial intelligence in pathology: a qualitative interview study of users’ experiences and expectations

Recent progress in the development of artificial intelligence (AI) has sparked enthusiasm for its potential use in pathology. As pathology labs are currently starting to shift their focus towards AI implementation, a better understanding how AI tools can be optimally aligned with the medical and soc...

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Autores principales: Drogt, Jojanneke, Milota, Megan, Vos, Shoko, Bredenoord, Annelien, Jongsma, Karin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596368/
https://www.ncbi.nlm.nih.gov/pubmed/35927490
http://dx.doi.org/10.1038/s41379-022-01123-6
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author Drogt, Jojanneke
Milota, Megan
Vos, Shoko
Bredenoord, Annelien
Jongsma, Karin
author_facet Drogt, Jojanneke
Milota, Megan
Vos, Shoko
Bredenoord, Annelien
Jongsma, Karin
author_sort Drogt, Jojanneke
collection PubMed
description Recent progress in the development of artificial intelligence (AI) has sparked enthusiasm for its potential use in pathology. As pathology labs are currently starting to shift their focus towards AI implementation, a better understanding how AI tools can be optimally aligned with the medical and social context of pathology daily practice is urgently needed. Strikingly, studies often fail to mention the ways in which AI tools should be integrated in the decision-making processes of pathologists, nor do they address how this can be achieved in an ethically sound way. Moreover, the perspectives of pathologists and other professionals within pathology concerning the integration of AI within pathology remains an underreported topic. This article aims to fill this gap in the literature and presents the first in-depth interview study in which professionals’ perspectives on the possibilities, conditions and prerequisites of AI integration in pathology are explicated. The results of this study have led to the formulation of three concrete recommendations to support AI integration, namely: (1) foster a pragmatic attitude toward AI development, (2) provide task-sensitive information and training to health care professionals working in pathology departments and (3) take time to reflect upon users’ changing roles and responsibilities.
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spelling pubmed-95963682022-10-27 Integrating artificial intelligence in pathology: a qualitative interview study of users’ experiences and expectations Drogt, Jojanneke Milota, Megan Vos, Shoko Bredenoord, Annelien Jongsma, Karin Mod Pathol Article Recent progress in the development of artificial intelligence (AI) has sparked enthusiasm for its potential use in pathology. As pathology labs are currently starting to shift their focus towards AI implementation, a better understanding how AI tools can be optimally aligned with the medical and social context of pathology daily practice is urgently needed. Strikingly, studies often fail to mention the ways in which AI tools should be integrated in the decision-making processes of pathologists, nor do they address how this can be achieved in an ethically sound way. Moreover, the perspectives of pathologists and other professionals within pathology concerning the integration of AI within pathology remains an underreported topic. This article aims to fill this gap in the literature and presents the first in-depth interview study in which professionals’ perspectives on the possibilities, conditions and prerequisites of AI integration in pathology are explicated. The results of this study have led to the formulation of three concrete recommendations to support AI integration, namely: (1) foster a pragmatic attitude toward AI development, (2) provide task-sensitive information and training to health care professionals working in pathology departments and (3) take time to reflect upon users’ changing roles and responsibilities. Nature Publishing Group US 2022-08-04 2022 /pmc/articles/PMC9596368/ /pubmed/35927490 http://dx.doi.org/10.1038/s41379-022-01123-6 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Drogt, Jojanneke
Milota, Megan
Vos, Shoko
Bredenoord, Annelien
Jongsma, Karin
Integrating artificial intelligence in pathology: a qualitative interview study of users’ experiences and expectations
title Integrating artificial intelligence in pathology: a qualitative interview study of users’ experiences and expectations
title_full Integrating artificial intelligence in pathology: a qualitative interview study of users’ experiences and expectations
title_fullStr Integrating artificial intelligence in pathology: a qualitative interview study of users’ experiences and expectations
title_full_unstemmed Integrating artificial intelligence in pathology: a qualitative interview study of users’ experiences and expectations
title_short Integrating artificial intelligence in pathology: a qualitative interview study of users’ experiences and expectations
title_sort integrating artificial intelligence in pathology: a qualitative interview study of users’ experiences and expectations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596368/
https://www.ncbi.nlm.nih.gov/pubmed/35927490
http://dx.doi.org/10.1038/s41379-022-01123-6
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