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Physician perspectives on integration of artificial intelligence into diagnostic pathology

Advancements in computer vision and artificial intelligence (AI) carry the potential to make significant contributions to health care, particularly in diagnostic specialties such as radiology and pathology. The impact of these technologies on physician stakeholders is the subject of significant spec...

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Autores principales: Sarwar, Shihab, Dent, Anglin, Faust, Kevin, Richer, Maxime, Djuric, Ugljesa, Van Ommeren, Randy, Diamandis, Phedias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550202/
https://www.ncbi.nlm.nih.gov/pubmed/31304375
http://dx.doi.org/10.1038/s41746-019-0106-0
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author Sarwar, Shihab
Dent, Anglin
Faust, Kevin
Richer, Maxime
Djuric, Ugljesa
Van Ommeren, Randy
Diamandis, Phedias
author_facet Sarwar, Shihab
Dent, Anglin
Faust, Kevin
Richer, Maxime
Djuric, Ugljesa
Van Ommeren, Randy
Diamandis, Phedias
author_sort Sarwar, Shihab
collection PubMed
description Advancements in computer vision and artificial intelligence (AI) carry the potential to make significant contributions to health care, particularly in diagnostic specialties such as radiology and pathology. The impact of these technologies on physician stakeholders is the subject of significant speculation. There is however a dearth of information regarding the opinions, enthusiasm, and concerns of the pathology community at large. Here, we report results from a survey of 487 pathologist-respondents practicing in 54 countries, conducted to examine perspectives on AI implementation in clinical practice. Despite limitations, including difficulty with quantifying response bias and verifying identity of respondents to this anonymous and voluntary survey, several interesting findings were uncovered. Overall, respondents carried generally positive attitudes towards AI, with nearly 75% reporting interest or excitement in AI as a diagnostic tool to facilitate improvements in workflow efficiency and quality assurance in pathology. Importantly, even within the more optimistic cohort, a significant number of respondents endorsed concerns about AI, including the potential for job displacement and replacement. Overall, around 80% of respondents predicted the introduction of AI technology in the pathology laboratory within the coming decade. Attempts to identify statistically significant demographic characteristics (e.g., age, sex, type/place of practice) predictive of attitudes towards AI using Kolmogorov–Smirnov (KS) testing revealed several associations. Important themes which were commented on by respondents included the need for increasing efforts towards physician training and resolving medical-legal implications prior to the generalized implementation of AI in pathology.
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spelling pubmed-65502022019-07-12 Physician perspectives on integration of artificial intelligence into diagnostic pathology Sarwar, Shihab Dent, Anglin Faust, Kevin Richer, Maxime Djuric, Ugljesa Van Ommeren, Randy Diamandis, Phedias NPJ Digit Med Article Advancements in computer vision and artificial intelligence (AI) carry the potential to make significant contributions to health care, particularly in diagnostic specialties such as radiology and pathology. The impact of these technologies on physician stakeholders is the subject of significant speculation. There is however a dearth of information regarding the opinions, enthusiasm, and concerns of the pathology community at large. Here, we report results from a survey of 487 pathologist-respondents practicing in 54 countries, conducted to examine perspectives on AI implementation in clinical practice. Despite limitations, including difficulty with quantifying response bias and verifying identity of respondents to this anonymous and voluntary survey, several interesting findings were uncovered. Overall, respondents carried generally positive attitudes towards AI, with nearly 75% reporting interest or excitement in AI as a diagnostic tool to facilitate improvements in workflow efficiency and quality assurance in pathology. Importantly, even within the more optimistic cohort, a significant number of respondents endorsed concerns about AI, including the potential for job displacement and replacement. Overall, around 80% of respondents predicted the introduction of AI technology in the pathology laboratory within the coming decade. Attempts to identify statistically significant demographic characteristics (e.g., age, sex, type/place of practice) predictive of attitudes towards AI using Kolmogorov–Smirnov (KS) testing revealed several associations. Important themes which were commented on by respondents included the need for increasing efforts towards physician training and resolving medical-legal implications prior to the generalized implementation of AI in pathology. Nature Publishing Group UK 2019-04-26 /pmc/articles/PMC6550202/ /pubmed/31304375 http://dx.doi.org/10.1038/s41746-019-0106-0 Text en © The Author(s) 2019 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/.
spellingShingle Article
Sarwar, Shihab
Dent, Anglin
Faust, Kevin
Richer, Maxime
Djuric, Ugljesa
Van Ommeren, Randy
Diamandis, Phedias
Physician perspectives on integration of artificial intelligence into diagnostic pathology
title Physician perspectives on integration of artificial intelligence into diagnostic pathology
title_full Physician perspectives on integration of artificial intelligence into diagnostic pathology
title_fullStr Physician perspectives on integration of artificial intelligence into diagnostic pathology
title_full_unstemmed Physician perspectives on integration of artificial intelligence into diagnostic pathology
title_short Physician perspectives on integration of artificial intelligence into diagnostic pathology
title_sort physician perspectives on integration of artificial intelligence into diagnostic pathology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550202/
https://www.ncbi.nlm.nih.gov/pubmed/31304375
http://dx.doi.org/10.1038/s41746-019-0106-0
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