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With the increase in Artificial Intelligence driven approaches, researchersare requesting unprecedented volumes of medical imaging data which far exceedthe capacity of traditional on-premise client-server approaches for making thedata research analysis-ready. We are making available a flexible solution foron-demand de-identification that combines the use of mature softwaretechnologies with modern cloud-based distributed computing techniques to enablefaster turnaround in medical imaging research. The solution is part of abroader platform that supports a secure high performance clinical data scienceplatform.

High performance on-demand de-identification of a petabyte-scale medical imaging data lake