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The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters

There has been particular interest in the deployment of digital pathology (DP) and artificial intelligence (AI) in the diagnosis of prostate cancer, but little is known about the views of the public on their use. Prostate Cancer UK supporters were invited to an online survey which included quantitat...

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Autores principales: Rakovic, Kai, Colling, Richard, Browning, Lisa, Dolton, Monica, Horton, Margaret R., Protheroe, Andrew, Lamb, Alastair D., Bryant, Richard J., Scheffer, Richard, Crofts, James, Stanislaus, Ewart, Verrill, Clare
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141178/
https://www.ncbi.nlm.nih.gov/pubmed/35626380
http://dx.doi.org/10.3390/diagnostics12051225
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author Rakovic, Kai
Colling, Richard
Browning, Lisa
Dolton, Monica
Horton, Margaret R.
Protheroe, Andrew
Lamb, Alastair D.
Bryant, Richard J.
Scheffer, Richard
Crofts, James
Stanislaus, Ewart
Verrill, Clare
author_facet Rakovic, Kai
Colling, Richard
Browning, Lisa
Dolton, Monica
Horton, Margaret R.
Protheroe, Andrew
Lamb, Alastair D.
Bryant, Richard J.
Scheffer, Richard
Crofts, James
Stanislaus, Ewart
Verrill, Clare
author_sort Rakovic, Kai
collection PubMed
description There has been particular interest in the deployment of digital pathology (DP) and artificial intelligence (AI) in the diagnosis of prostate cancer, but little is known about the views of the public on their use. Prostate Cancer UK supporters were invited to an online survey which included quantitative and qualitative questions exploring views on the use of DP and AI in histopathological assessment. A total of 1276 responses to the survey were analysed (response rate 12.5%). Most respondents were supportive of DP (87%, 1113/1276) and of testing AI in clinical practice as a diagnostic adjunct (83%, 1058/1276). Respondents saw DP as potentially increasing workflow efficiency, facilitating research, education/training and fostering clinical discussions between clinician and patient. Some respondents raised concerns regarding data security, reliability and the need for human oversight. Among those who were unsure about AI, information was requested regarding its performance and others wanted to defer the decision to use it to an expert. Although most are in favour of its use, some are unsure, and their concerns could be addressed with more information or better communication. A small minority (<1%) are not in favour of the testing of the use of AI in histopathology for reasons which are not easily addressed.
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spelling pubmed-91411782022-05-28 The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters Rakovic, Kai Colling, Richard Browning, Lisa Dolton, Monica Horton, Margaret R. Protheroe, Andrew Lamb, Alastair D. Bryant, Richard J. Scheffer, Richard Crofts, James Stanislaus, Ewart Verrill, Clare Diagnostics (Basel) Article There has been particular interest in the deployment of digital pathology (DP) and artificial intelligence (AI) in the diagnosis of prostate cancer, but little is known about the views of the public on their use. Prostate Cancer UK supporters were invited to an online survey which included quantitative and qualitative questions exploring views on the use of DP and AI in histopathological assessment. A total of 1276 responses to the survey were analysed (response rate 12.5%). Most respondents were supportive of DP (87%, 1113/1276) and of testing AI in clinical practice as a diagnostic adjunct (83%, 1058/1276). Respondents saw DP as potentially increasing workflow efficiency, facilitating research, education/training and fostering clinical discussions between clinician and patient. Some respondents raised concerns regarding data security, reliability and the need for human oversight. Among those who were unsure about AI, information was requested regarding its performance and others wanted to defer the decision to use it to an expert. Although most are in favour of its use, some are unsure, and their concerns could be addressed with more information or better communication. A small minority (<1%) are not in favour of the testing of the use of AI in histopathology for reasons which are not easily addressed. MDPI 2022-05-13 /pmc/articles/PMC9141178/ /pubmed/35626380 http://dx.doi.org/10.3390/diagnostics12051225 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 Article
Rakovic, Kai
Colling, Richard
Browning, Lisa
Dolton, Monica
Horton, Margaret R.
Protheroe, Andrew
Lamb, Alastair D.
Bryant, Richard J.
Scheffer, Richard
Crofts, James
Stanislaus, Ewart
Verrill, Clare
The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters
title The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters
title_full The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters
title_fullStr The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters
title_full_unstemmed The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters
title_short The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters
title_sort use of digital pathology and artificial intelligence in histopathological diagnostic assessment of prostate cancer: a survey of prostate cancer uk supporters
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141178/
https://www.ncbi.nlm.nih.gov/pubmed/35626380
http://dx.doi.org/10.3390/diagnostics12051225
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