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

Artificial Intelligence Data Ethics Machine Learning Radiology

Journal

Insights into imaging
ISSN: 1869-4101
Titre abrégé: Insights Imaging
Pays: Germany
ID NLM: 101532453

Informations de publication

Date de publication:
01 Oct 2019
Historique:
received: 08 08 2019
accepted: 26 08 2019
entrez: 2 10 2019
pubmed: 2 10 2019
medline: 2 10 2019
Statut: epublish

Résumé

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.

Identifiants

pubmed: 31571015
doi: 10.1186/s13244-019-0785-8
pii: 10.1186/s13244-019-0785-8
pmc: PMC6768929
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101

Références

Sci Eng Ethics. 2016 Apr;22(2):303-41
pubmed: 26002496
AJR Am J Roentgenol. 2017 Apr;208(4):754-760
pubmed: 28125274
Radiographics. 2017 Mar-Apr;37(2):505-515
pubmed: 28212054
Philos Trans A Math Phys Eng Sci. 2016 Dec 28;374(2083):
pubmed: 28336805

Auteurs

J Raymond Geis (JR)

American College of Radiology Data Science Institute, Reston, Virginia, USA. raym.geis@gmail.com.
Department of Radiology, National Jewish Health, Denver, Colorado, USA. raym.geis@gmail.com.

Adrian Brady (A)

Mercy University Hospital, Cork, Ireland.

Carol C Wu (CC)

University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Jack Spencer (J)

Department of Linguistics and Philosophy, MIT, Cambridge, Massachusetts, USA.

Erik Ranschaert (E)

Netherlands Cancer Institute, Amsterdam, the Netherlands.

Jacob L Jaremko (JL)

Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada.

Steve G Langer (SG)

Radiology Department-Mayo Clinic, Rochester, Minnesota, USA.

Andrea Borondy Kitts (AB)

Lahey Hospital & Medical Center, Burlington, Massachusetts, USA.

Judy Birch (J)

Pelvic Pain Support Network, Poole, UK.

William F Shields (WF)

General Counsel, American College of Radiology, Reston, Virginia, USA.

Robert van den Hoven van Genderen (R)

Center of Law and Internet, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Elmar Kotter (E)

Department of Radiology, University Medical Center, Freiburg, Germany.

Judy Wawira Gichoya (JW)

Department of Interventional Radiology, Oregon Health & Science University, Portland, Oregon, USA.
Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia, USA.

Tessa S Cook (TS)

Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Matthew B Morgan (MB)

Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah, USA.

An Tang (A)

Centre de Recherche du Centre Hospitalier de L'Université de Montréal, Quebec, Canada.

Nabile M Safdar (NM)

Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia, USA.

Marc Kohli (M)

Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA.

Classifications MeSH