Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement

Insights into Imaging - Tập 10 - Trang 1-6 - 2019
J. Raymond Geis1,2, Adrian Brady3, Carol C. Wu4, Jack Spencer5, Erik Ranschaert6, Jacob L. Jaremko7, Steve G. Langer8, Andrea Borondy Kitts9, Judy Birch10, William F. Shields11, Robert van den Hoven van Genderen12, Elmar Kotter13, Judy Wawira Gichoya14,15, Tessa S. Cook16, Matthew B. Morgan17, An Tang18, Nabile M. Safdar15, Marc Kohli19
1American College of Radiology Data Science Institute, Reston, USA
2Department of Radiology, National Jewish Health, Denver, USA
3Mercy University Hospital, Cork, Ireland
4University of Texas MD Anderson Cancer Center, Houston, USA
5Department of Linguistics and Philosophy, MIT, Cambridge, USA
6Netherlands Cancer Institute, Amsterdam, The Netherlands
7Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada
8Radiology Department-Mayo Clinic, Rochester, USA
9Lahey Hospital & Medical Center, Burlington, USA
10Pelvic Pain Support Network, Poole, UK
11General Counsel, American College of Radiology, Reston, USA
12Center of Law and Internet, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
13Department of Radiology, University Medical Center, Freiburg, Germany
14Department of Interventional Radiology, Oregon Health & Science University, Portland, USA
15Department of Radiology and Imaging Sciences, Emory University, Atlanta, USA
16Department of Radiology, University of Pennsylvania, Philadelphia, USA
17Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, USA
18Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Quebec, Canada
19Department of Radiology and Biomedical Imaging, UCSF, San Francisco, USA

Tóm tắt

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 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 which 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.

Tài liệu tham khảo

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