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dc.contributor.authorGleeson, Fergus
dc.contributor.authorRevel, Marie-Pierre
dc.contributor.authorBiederer, Jürgen
dc.contributor.authorLarici, Anna Rita
dc.contributor.authorMartini, Katharina
dc.contributor.authorFrauenfelder, Thomas
dc.contributor.authorScreaton, Nicholas
dc.contributor.authorProsch, Helmut
dc.contributor.authorSnoeckx, Annemiek
dc.contributor.authorSverzellati, Nicola
dc.contributor.authorGhaye, Benoit
dc.contributor.authorParkar, Anagha P
dc.date.accessioned2023-12-28T14:17:57Z
dc.date.available2023-12-28T14:17:57Z
dc.date.created2023-06-01T13:05:25Z
dc.date.issued2023
dc.identifier.issn0938-7994
dc.identifier.urihttps://hdl.handle.net/11250/3109046
dc.description.abstractThis statement from the European Society of Thoracic imaging (ESTI) explains and summarises the essentials for understanding and implementing Artificial intelligence (AI) in clinical practice in thoracic radiology departments. This document discusses the current AI scientific evidence in thoracic imaging, its potential clinical utility, implementation and costs, training requirements and validation, its’ effect on the training of new radiologists, post-implementation issues, and medico-legal and ethical issues. All these issues have to be addressed and overcome, for AI to become implemented clinically in thoracic radiology.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleImplementation of artificial intelligence in thoracic imaging—a what, how, and why guide from the European Society of Thoracic Imaging (ESTI)en_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.1007/s00330-023-09409-2
dc.identifier.cristin2150823
dc.source.journalEuropean Radiologyen_US
dc.source.pagenumber5077-5086en_US
dc.identifier.citationEuropean Radiology. 2023, 33, 5077-5086.en_US
dc.source.volume33en_US


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