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

Paul H. Yi,Pwint Phyu Khine,James M. Brian,Constance D. Lehman,Benjamin Spilseth,Vaishali Phalke,Colin D. McKnight,Jessica G. Fried,Xiaoqin Jennifer Wang,Dhiraj Baruah,Christian J. Park,Laurie L. Fajardo,Mini Pakkal,Matthew D. Li

doi:10.1016/j.acra.2021.08.002

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

Paul H. Yi, Pwint Phyu Khine + Show 12 more

https://doi.org/10.1016/j.acra.2021.08.002

Copy DOI

Journal: Academic Radiology	Publication Date: Sep 22, 2021
Citations: 6

Affiliation: University of Maryland, Baltimore, Johns Hopkins University, Penn State Milton S. Hershey Medical Center, Pennsylvania State University, Massachusetts General Hospital, University of Minnesota Medical Center, University of Florida, Vanderbilt University Medical Center, University of Michigan–Ann Arbor, University of Kentucky, Medical University of South Carolina, Hershey (United States), University of Utah, University of Toronto

#Association Of University Radiologists #Radiology Research Alliance + Show 8 more

Abstract
Full-Text PDF
Similar Papers

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.

Full Text