About this item:

144 Views | 174 Downloads

Author Notes:

J. Raymond Geis, Phone: +1 970-980-9849, Email: raym.geis@gmail.com

All authors read and approved the final manuscript.

Dr. Jaremko reports support from MEDO Dx PTE Ltd, outside the submitted work; Andrea Borondy Kitts MS, MPH is COO and investor, Prosumer Heath, Associate Editor JACR, paid faculty 2019 Medtronic Global Lung Health Summit.

Dr. Morgan reports personal fees from Elsevier, outside the submitted work.

Dr. Tang reports support from Fonds de Recherche du Québec en Santé and Fondation de l’association des radiologistes du Québec (FRQS-ARQ 34939), during the conduct of the study.

Dr Kohli reports non-financial support from Society of Imaging Informatics in Medicine, during the conduct of the study; non-financial support from Radiological Society of North America, outside the submitted work.

The other authors state that they have no conflict of interest related to the material discussed in this article.


Research Funding:

The authors declare that this article has not received funding.


  • Science & Technology
  • Life Sciences & Biomedicine
  • Radiology, Nuclear Medicine & Medical Imaging
  • Ethics
  • Artificial Intelligence
  • Radiology
  • Machine Learning
  • Data

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

Show all authors Show less authors


Journal Title:

Insights into Imaging


Volume 10, Number 1


, Pages 101-101

Type of Work:

Article | Final Publisher PDF


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.

Copyright information:

© 2019, The Author(s).

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
Export to EndNote