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

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

doi:10.1016/j.acra.2021.08.002

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

Acad Radiol. 2022 Jan;29(1):119-128. doi: 10.1016/j.acra.2021.08.002. Epub 2021 Sep 22.

Authors

Affiliations

¹ Department of Radiology, University of Minnesota Medical School, Minneapolis, Minnesota.
² Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
³ Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
⁴ Department of Radiology, Penn State Health, Milton S. Hershey Center, Hershey, Pennsylvania.
⁵ Department of Radiology, University of Michigan, Ann Arbor, Michigan.
⁶ Department of Radiology and Diagnostic Imaging, University of Maryland Intelligent Imaging (UMII) Center, University of Maryland School of Medicine & Malone Center for Engineering in Healthcare, Johns Hopkins University Whiting School of Engineering, Baltimore, Maryland.
⁷ Department of Radiology, Penn State Health, Penn State Children's Hospital, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania.
⁸ Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
⁹ Department of Radiology, University of Kentucky, Louisville, Kentucky.
¹⁰ Department of Radiology, University of Florida, Gainesville, Florida.
¹¹ Department of Radiology, University of Toronto, Toronto, Canada.
¹² Department of Radiology and Radiological Science; Medical University of South Carolina, Charleston, South Carolina.
¹³ Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA.
¹⁴ Department of Radiology and Radiological Sciences, University of Utah, 1950 Circle of Hope - 3rd floor Breast Imaging Clinic, Salt Lake City, UT 84112. Electronic address: L-Fajardo@outlook.com.

PMID: 34561163
DOI: 10.1016/j.acra.2021.08.002

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.

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.

MeSH terms

Artificial Intelligence*
Humans
Radiography
Radiologists
Radiology*
Universities