Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 119-128 |
| Number of pages | 10 |
| Journal | Academic Radiology |
| Volume | 29 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2022 |
Bibliographical note
Publisher Copyright:© 2021 The Association of University Radiologists
Funding
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.
Keywords
- academic radiology
- academic-industry collaborations
- academic-industry partnerships
- and computer assisted diagnosis
- artificial intelligence
- challenges
- clinical data ownership
- deep learning
- machine learning
- opportunities
- pitfalls
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
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