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The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice
Growing numbers of artificial intelligence applications are being developed and applied to pathology and laboratory medicine. These technologies introduce risks and benefits that must be assessed and managed through the lens of ethics. This article describes how long-standing principles of medical a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894680/ https://www.ncbi.nlm.nih.gov/pubmed/33644301 http://dx.doi.org/10.1177/2374289521990784 |
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author | Jackson, Brian R. Ye, Ye Crawford, James M. Becich, Michael J. Roy, Somak Botkin, Jeffrey R. de Baca, Monica E. Pantanowitz, Liron |
author_facet | Jackson, Brian R. Ye, Ye Crawford, James M. Becich, Michael J. Roy, Somak Botkin, Jeffrey R. de Baca, Monica E. Pantanowitz, Liron |
author_sort | Jackson, Brian R. |
collection | PubMed |
description | Growing numbers of artificial intelligence applications are being developed and applied to pathology and laboratory medicine. These technologies introduce risks and benefits that must be assessed and managed through the lens of ethics. This article describes how long-standing principles of medical and scientific ethics can be applied to artificial intelligence using examples from pathology and laboratory medicine. |
format | Online Article Text |
id | pubmed-7894680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-78946802021-02-26 The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice Jackson, Brian R. Ye, Ye Crawford, James M. Becich, Michael J. Roy, Somak Botkin, Jeffrey R. de Baca, Monica E. Pantanowitz, Liron Acad Pathol Special Article Growing numbers of artificial intelligence applications are being developed and applied to pathology and laboratory medicine. These technologies introduce risks and benefits that must be assessed and managed through the lens of ethics. This article describes how long-standing principles of medical and scientific ethics can be applied to artificial intelligence using examples from pathology and laboratory medicine. SAGE Publications 2021-02-16 /pmc/articles/PMC7894680/ /pubmed/33644301 http://dx.doi.org/10.1177/2374289521990784 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc-nd/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Special Article Jackson, Brian R. Ye, Ye Crawford, James M. Becich, Michael J. Roy, Somak Botkin, Jeffrey R. de Baca, Monica E. Pantanowitz, Liron The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice |
title | The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice |
title_full | The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice |
title_fullStr | The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice |
title_full_unstemmed | The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice |
title_short | The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice |
title_sort | ethics of artificial intelligence in pathology and laboratory medicine: principles and practice |
topic | Special Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894680/ https://www.ncbi.nlm.nih.gov/pubmed/33644301 http://dx.doi.org/10.1177/2374289521990784 |
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