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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: | Hedlund, Joel, Eklund, Anders, Lundström, Claes |
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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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