Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden.

Journal: Scientific data
Published Date:

Abstract

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.

Authors

  • Joel Hedlund
    Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden. joel.hedlund@liu.se.
  • Anders Eklund
    Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
  • Claes Lundström
    Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.