Back to Search Start Over

AUR-RRA Review: Logistics of Academic-Industry Partnerships in Artificial Intelligence

Authors :
Constance D. Lehman
Laurie L. Fajardo
Vaishali Phalke
Jessica G. Fried
Mini Pakkal
Colin D. McKnight
Xiaoqin Jennifer Wang
Dhiraj Baruah
Benjamin Spilseth
James M. Brian
Christian J. Park
Matthew D. Li
Pwint Phyu Khine
Paul H. Yi
Source :
Academic Radiology. 29:119-128
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

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.

Details

ISSN :
10766332
Volume :
29
Database :
OpenAIRE
Journal :
Academic Radiology
Accession number :
edsair.doi.dedup.....0cc6e4dc1f53ec8d3d28ab2965f9d54e
Full Text :
https://doi.org/10.1016/j.acra.2021.08.002