The workflow for data preparation and dissemination is one of the key attributes of a successful large-scale radiology AI section. The workflow consists of identifying relevant images, downloading, anonymizing and converting them to more usable formats, identifying the imaging series of interest within a study, and coordinating clinical, text and imaging data. Successful dissemination of large-scale imaging data involves additional considerations that can prove challenging. In this presentation, I will provide an overview of my lab’s perspective on these topics and discuss case studies from both my institution and a collaborating institution.
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