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Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden
Development of world-class artificial intelligence (AI) for medical imaging requires access to massive amounts of training data from clinical sources, but effective data sharing is often hindered by uncertainty regarding data protection. We describe an initiative to reduce this uncertainty through a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538928/ https://www.ncbi.nlm.nih.gov/pubmed/33024103 http://dx.doi.org/10.1038/s41597-020-00674-0 |
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author | Hedlund, Joel Eklund, Anders Lundström, Claes |
author_facet | Hedlund, Joel Eklund, Anders Lundström, Claes |
author_sort | Hedlund, Joel |
collection | PubMed |
description | Development of world-class artificial intelligence (AI) for medical imaging requires access to massive amounts of training data from clinical sources, but effective data sharing is often hindered by uncertainty regarding data protection. We describe an initiative to reduce this uncertainty through a policy describing a national community consensus on sound data sharing practices. |
format | Online Article Text |
id | pubmed-7538928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75389282020-10-19 Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden Hedlund, Joel Eklund, Anders Lundström, Claes Sci Data Comment Development of world-class artificial intelligence (AI) for medical imaging requires access to massive amounts of training data from clinical sources, but effective data sharing is often hindered by uncertainty regarding data protection. We describe an initiative to reduce this uncertainty through a policy describing a national community consensus on sound data sharing practices. Nature Publishing Group UK 2020-10-06 /pmc/articles/PMC7538928/ /pubmed/33024103 http://dx.doi.org/10.1038/s41597-020-00674-0 Text en © The Author(s) 2020 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/. |
spellingShingle | Comment Hedlund, Joel Eklund, Anders Lundström, Claes Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden |
title | Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden |
title_full | Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden |
title_fullStr | Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden |
title_full_unstemmed | Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden |
title_short | Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden |
title_sort | key insights in the aida community policy on sharing of clinical imaging data for research in sweden |
topic | Comment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538928/ https://www.ncbi.nlm.nih.gov/pubmed/33024103 http://dx.doi.org/10.1038/s41597-020-00674-0 |
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