Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI

ACCEPT-AI is a framework of recommendations for the safe inclusion of pediatric data in artificial intelligence and machine learning (AI/ML) research. It has been built on fundamental ethical principles of pediatric and AI research and incorporates age, consent, assent, communication, equity, protec...

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Detalles Bibliográficos
Autores principales: Muralidharan, V., Burgart, A., Daneshjou, R., Rose, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482936/
https://www.ncbi.nlm.nih.gov/pubmed/37673925
http://dx.doi.org/10.1038/s41746-023-00898-5
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author Muralidharan, V.
Burgart, A.
Daneshjou, R.
Rose, S.
author_facet Muralidharan, V.
Burgart, A.
Daneshjou, R.
Rose, S.
author_sort Muralidharan, V.
collection PubMed
description ACCEPT-AI is a framework of recommendations for the safe inclusion of pediatric data in artificial intelligence and machine learning (AI/ML) research. It has been built on fundamental ethical principles of pediatric and AI research and incorporates age, consent, assent, communication, equity, protection of data, and technological considerations. ACCEPT-AI has been designed to guide researchers, clinicians, regulators, and policymakers and can be utilized as an independent tool, or adjunctively to existing AI/ML guidelines.
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spelling pubmed-104829362023-09-08 Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI Muralidharan, V. Burgart, A. Daneshjou, R. Rose, S. NPJ Digit Med Perspective ACCEPT-AI is a framework of recommendations for the safe inclusion of pediatric data in artificial intelligence and machine learning (AI/ML) research. It has been built on fundamental ethical principles of pediatric and AI research and incorporates age, consent, assent, communication, equity, protection of data, and technological considerations. ACCEPT-AI has been designed to guide researchers, clinicians, regulators, and policymakers and can be utilized as an independent tool, or adjunctively to existing AI/ML guidelines. Nature Publishing Group UK 2023-09-06 /pmc/articles/PMC10482936/ /pubmed/37673925 http://dx.doi.org/10.1038/s41746-023-00898-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Perspective
Muralidharan, V.
Burgart, A.
Daneshjou, R.
Rose, S.
Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI
title Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI
title_full Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI
title_fullStr Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI
title_full_unstemmed Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI
title_short Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI
title_sort recommendations for the use of pediatric data in artificial intelligence and machine learning accept-ai
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482936/
https://www.ncbi.nlm.nih.gov/pubmed/37673925
http://dx.doi.org/10.1038/s41746-023-00898-5
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