The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice.
algorithms
artificial intelligence
big data
ethics
machine learning
privacy
Journal
Academic pathology
ISSN: 2374-2895
Titre abrégé: Acad Pathol
Pays: United States
ID NLM: 101698648
Informations de publication
Date de publication:
Historique:
received:
01
10
2020
revised:
24
11
2020
accepted:
28
12
2020
entrez:
1
3
2021
pubmed:
2
3
2021
medline:
2
3
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 33644301
doi: 10.1177/2374289521990784
pii: S2374-2895(21)00051-8
pmc: PMC7894680
doi:
Types de publication
Journal Article
Langues
eng
Pagination
2374289521990784Informations de copyright
© The Author(s) 2021.
Déclaration de conflit d'intérêts
Declaration of Conflicting Interests: The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Liron Pantanowitz declares that he is on the medical advisory board of Ibex, an AI start-up company. Michael J. Becich is a founder and has equity in SpIntellx, a spatial analytics pathology AI start-up company with an explainable AI solution. In addition, Dr Becich has an industry sponsored research agreement with Owkin (French, UK, and US AI company) unrelated to work referenced in this manuscript.
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