TY - JOUR
T1 - Ethics of artificial intelligence in radiology
T2 - Summary of the joint European and North American multisociety statement
AU - Raymond Geis, J.
AU - Brady, Adrian P.
AU - Wu, Carol C.
AU - Spencer, Jack
AU - Ranschaert, Erik
AU - Jaremko, Jacob L.
AU - Langer, Steve G.
AU - Kitts, Andrea Borondy
AU - Birch, Judy
AU - Shields, William F.
AU - van den Hoven van Genderen, Robert
AU - Kotter, Elmar
AU - Gichoya, Judy Wawira
AU - Cook, Tessa S.
AU - Morgan, Matthew B.
AU - Tang, An
AU - Safdar, Nabile M.
AU - Kohli, Marc
N1 - Funding Information:
From the American College of Radiology Data Science Institute, Reston, Va (J.R.G.); Department of Radiology, National Jewish Health, 3401 Shore Rd, Fort Collins, CO 80524 (J.R.G.); Mercy University Hospital, Cork, Ireland (A.B.); University of Texas MD Anderson Cancer Center, Houston, Tex (C.C.W.); MIT, Department of Linguistics and Philosophy, Cambridge, Mass (J.S.); Netherlands Cancer Institute, Amsterdam, the Netherlands (E.R.); Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (J.L.J.); Radiology Department-Mayo Clinic, Rochester, Minn (S.G.L.); Lahey Hospital & Medical Center, Burlington, Mass (A.B.K.); Pelvic Pain Support Network, Poole, UK (J.B.); General Counsel, American College of Radiology, Reston, Va (W.F.S.); Center of Law and Internet, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands (R.v.d.H.v.G.); Department of Radiology, University Medical Center, Freiburg, Germany (E.K.); Department of Interventional Radiology, Oregon Health & Science University, Portland, Ore (J.W.G.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (J.W.G., N.MS.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (T.S.C.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (M.B.M.); Centre de Recherche du Centre Hospitalier de L’Université de Montréal, Quebec, Canada (A.T.); and Department of Radiology and Biomedical Imaging, UCSF, San Francisco, Calif (M.K.). Received July 16, 2019; final version accepted August 9. Address correspondence to J.R.G. (e-mail: raym.geis@gmail.com).
Publisher Copyright:
© 2019 Radiological Society of North America Inc.. All rights reserved.
PY - 2019
Y1 - 2019
N2 - This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of Medical Imaging Informatics, Canadian Association of Radiologists, and American Association of Physicists in Medicine. AI has great potential to increase efficiency and accuracy throughout radiology, but it also carries inherent pitfalls and biases. Widespread use of AI-based intelligent and autonomous systems in radiology can increase the risk of systemic errors with high consequence and highlights complex ethical and societal issues. Currently, there is little experience using AI for patient care in diverse clinical settings. Extensive research is needed to understand how to best deploy AI in clinical practice. This statement highlights our consensus that ethical use of AI in radiology should promote well-being, minimize harm, and ensure that the benefits and harms are distributed among stakeholders in a just manner. We believe AI should respect human rights and freedoms, including dignity and privacy. It should be designed for maximum transparency and dependability. Ultimate responsibility and accountability for AI remains with its human designers and operators for the foreseeable future. The radiology community should start now to develop codes of ethics and practice for AI that promote any use that helps patients and the common good and should block use of radiology data and algorithms for financial gain without those two attributes.
AB - This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of Medical Imaging Informatics, Canadian Association of Radiologists, and American Association of Physicists in Medicine. AI has great potential to increase efficiency and accuracy throughout radiology, but it also carries inherent pitfalls and biases. Widespread use of AI-based intelligent and autonomous systems in radiology can increase the risk of systemic errors with high consequence and highlights complex ethical and societal issues. Currently, there is little experience using AI for patient care in diverse clinical settings. Extensive research is needed to understand how to best deploy AI in clinical practice. This statement highlights our consensus that ethical use of AI in radiology should promote well-being, minimize harm, and ensure that the benefits and harms are distributed among stakeholders in a just manner. We believe AI should respect human rights and freedoms, including dignity and privacy. It should be designed for maximum transparency and dependability. Ultimate responsibility and accountability for AI remains with its human designers and operators for the foreseeable future. The radiology community should start now to develop codes of ethics and practice for AI that promote any use that helps patients and the common good and should block use of radiology data and algorithms for financial gain without those two attributes.
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U2 - 10.1148/radiol.2019191586
DO - 10.1148/radiol.2019191586
M3 - Article
C2 - 31573399
AN - SCOPUS:85073577360
SN - 0033-8419
VL - 293
SP - 436
EP - 440
JO - Radiology
JF - Radiology
IS - 2
ER -