Equity within AI systems: What can health leaders expect?

Artificial Intelligence (AI) for health has a great potential; it has already proven to be successful in enhancing patient outcomes, facilitating professional work and benefiting administration. However, AI presents challenges related to health equity defined as an opportunity for people to reach th...

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Detalles Bibliográficos
Autores principales: Gurevich, Emma, El Hassan, Basheer, El Morr, Christo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976641/
https://www.ncbi.nlm.nih.gov/pubmed/36226507
http://dx.doi.org/10.1177/08404704221125368
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author Gurevich, Emma
El Hassan, Basheer
El Morr, Christo
author_facet Gurevich, Emma
El Hassan, Basheer
El Morr, Christo
author_sort Gurevich, Emma
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description Artificial Intelligence (AI) for health has a great potential; it has already proven to be successful in enhancing patient outcomes, facilitating professional work and benefiting administration. However, AI presents challenges related to health equity defined as an opportunity for people to reach their fullest health potential. This article discusses the opportunities and challenges that AI presents in health and examines ways in which inequities related to AI can be mitigated.
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spelling pubmed-99766412023-03-02 Equity within AI systems: What can health leaders expect? Gurevich, Emma El Hassan, Basheer El Morr, Christo Healthc Manage Forum Original Articles Artificial Intelligence (AI) for health has a great potential; it has already proven to be successful in enhancing patient outcomes, facilitating professional work and benefiting administration. However, AI presents challenges related to health equity defined as an opportunity for people to reach their fullest health potential. This article discusses the opportunities and challenges that AI presents in health and examines ways in which inequities related to AI can be mitigated. SAGE Publications 2022-10-13 2023-03 /pmc/articles/PMC9976641/ /pubmed/36226507 http://dx.doi.org/10.1177/08404704221125368 Text en © 2022 The Canadian College of Health Leaders. All rights reserved. https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Gurevich, Emma
El Hassan, Basheer
El Morr, Christo
Equity within AI systems: What can health leaders expect?
title Equity within AI systems: What can health leaders expect?
title_full Equity within AI systems: What can health leaders expect?
title_fullStr Equity within AI systems: What can health leaders expect?
title_full_unstemmed Equity within AI systems: What can health leaders expect?
title_short Equity within AI systems: What can health leaders expect?
title_sort equity within ai systems: what can health leaders expect?
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976641/
https://www.ncbi.nlm.nih.gov/pubmed/36226507
http://dx.doi.org/10.1177/08404704221125368
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