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dc.contributor.authorGeis, J. R
dc.contributor.authorBrady, Adrian
dc.contributor.authorWu, Carol C
dc.contributor.authorSpencer, Jack
dc.contributor.authorRanschaert, Erik
dc.contributor.authorJaremko, Jacob L
dc.contributor.authorLanger, Steve G
dc.contributor.authorKitts, Andrea B
dc.contributor.authorBirch, Judy
dc.contributor.authorShields, William F
dc.contributor.authorvan den Hoven van Genderen, Robert
dc.contributor.authorKotter, Elmar
dc.contributor.authorGichoya, Judy W
dc.contributor.authorCook, Tessa S
dc.contributor.authorMorgan, Matthew B
dc.date.accessioned2021-09-20T17:29:58Z
dc.date.available2021-09-20T17:29:58Z
dc.date.issued2019-10-01
dc.identifier.urihttps://hdl.handle.net/1721.1/131724
dc.description.abstractAbstract 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.en_US
dc.publisherSpringer Berlin Heidelbergen_US
dc.relation.isversionofhttps://doi.org/10.1186/s13244-019-0785-8en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceSpringer Berlin Heidelbergen_US
dc.titleEthics of artificial intelligence in radiology: summary of the joint European and North American multisociety statementen_US
dc.typeArticleen_US
dc.identifier.citationInsights into Imaging. 2019 Oct 01;10(1):101en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Linguistics and Philosophy
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-06-26T13:27:48Z
dc.language.rfc3066en
dc.rights.holderThe Author(s).
dspace.embargo.termsN
dspace.date.submission2020-06-26T13:27:48Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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