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dc.contributor.authorGundersen, Torbjørn
dc.contributor.authorBærøe, Kristine
dc.date.accessioned2023-03-15T15:07:01Z
dc.date.available2023-03-15T15:07:01Z
dc.date.created2022-09-19T10:12:49Z
dc.date.issued2022
dc.identifier.issn1526-5161
dc.identifier.issn1536-0075
dc.identifier.urihttps://hdl.handle.net/11250/3058566
dc.description.abstractMachine learning and other forms of artificial intelligence (AI) can improve parts of clinical decision making regarding the gathering and analysis of data, the detection of disease, and the provision of treatment recommendations. The target article “Algorithms for Ethical Decision-Making in the Clinic: A Proof of Concept” (Meier et al. Citation2022) explores the less-examined possibility of using this technology to provide ethical advice. The article examines the feasibility of an algorithmic advisory system for clinical ethics called METHAD, which is designed to provide recommendations to clinicians facing difficult ethical questions.en_US
dc.language.isoengen_US
dc.publisherRoutledgeen_US
dc.relation.ispartofseriesAmerican Journal of Bioethics;
dc.titleEthical Algorithmic Advice: Some Reasons to Pause and Think Twiceen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doihttps://doi.org/10.1080/15265161.2022.2075053
dc.identifier.cristin2052958
dc.source.journalAmerican Journal of Bioethicsen_US
dc.source.volume22en_US
dc.source.issue7en_US
dc.source.pagenumber26-28en_US


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