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

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

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

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 (US)
Pages (from-to)	119-128
Number of pages	10
Journal	Academic Radiology
Volume	29
Issue number	1
DOIs	https://doi.org/10.1016/j.acra.2021.08.002
State	Published - Jan 2022

All Science Journal Classification (ASJC) codes

Radiology Nuclear Medicine and imaging

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10.1016/j.acra.2021.08.002

Cite this

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title = "AUR-RRA Review: Logistics of Academic-Industry Partnerships in Artificial Intelligence",

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.",

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

note = "Publisher Copyright: {\textcopyright} 2021 The Association of University Radiologists",

year = "2022",

month = jan,

doi = "10.1016/j.acra.2021.08.002",

language = "English (US)",

volume = "29",

pages = "119--128",

journal = "Academic Radiology",

issn = "1076-6332",

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T2 - Logistics of Academic-Industry Partnerships in Artificial Intelligence

AU - Spilseth, Benjamin

AU - McKnight, Colin D.

AU - Li, Matthew D.

AU - Park, Christian J.

AU - Fried, Jessica G.

AU - Yi, Paul H.

AU - Brian, James M.

AU - Lehman, Constance D.

AU - Wang, Xiaoqin Jennifer

AU - Phalke, Vaishali

AU - Pakkal, Mini

AU - Baruah, Dhiraj

AU - Khine, Pwint Phyu

AU - Fajardo, Laurie L.

PY - 2022/1

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N2 - 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.

AB - 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.

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UR - https://www.scopus.com/pages/publications/85115378381#tab=citedBy

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DO - 10.1016/j.acra.2021.08.002

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AN - SCOPUS:85115378381

SN - 1076-6332

VL - 29

SP - 119

EP - 128

JO - Academic Radiology

JF - Academic Radiology

IS - 1

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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