Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden.
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Hedlund J, Eklund A, Lundström C
Sci Data 7 (1) 331 [2020-10-06; online 2020-10-06]
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.
Bioinformatics (NBIS) [Service]
PubMed 33024103
DOI 10.1038/s41597-020-00674-0
Crossref 10.1038/s41597-020-00674-0
pmc: PMC7538928
pii: 10.1038/s41597-020-00674-0