The Radiology Research Alliance (RRA) of the Association of University Radiologists (AUR) convenes Task Forces to address current topics in radiology. In this article, the AUR-RRA Task Force on Academic-Industry Partnerships for Artificial Intelligence, considered issues of importance to academic radiology departments contemplating industry partnerships in artificial intelligence (AI) development, testing and evaluation. Our goal was to create a framework encompassing the domains of clinical, technical, regulatory, legal and financial considerations that impact the arrangement and success of such partnerships.
Bibliographical noteFunding Information:
M.D.L. reports funding from an RSNA R&E Fund Research Resident/Fellow Grant, outside of the submitted work. P.H.Y. – Consultant and Shareholder, Bunkerhill Health. L.L.F. – Consultant on Artificial Intelligence Development, Hologic, Inc., Danbury, CT.
© 2021 The Association of University Radiologists
- academic radiology
- academic-industry collaborations
- academic-industry partnerships
- and computer assisted diagnosis
- artificial intelligence
- clinical data ownership
- deep learning
- machine learning
PubMed: MeSH publication types
- Journal Article