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dc.contributor.authorRiegler, Michael Alexander
dc.contributor.authorStensen, Mette Haug
dc.contributor.authorWitczak, Oliwia
dc.contributor.authorAndersen, Jorunn Marie
dc.contributor.authorHicks, Steven
dc.contributor.authorHammer, Hugo Lewi
dc.contributor.authorDelbarre, Erwan
dc.contributor.authorHalvorsen, Pål
dc.contributor.authorYazidi, Anis
dc.contributor.authorHolst, Nicolai
dc.contributor.authorHaugen, Trine B.
dc.date.accessioned2022-02-08T14:55:41Z
dc.date.available2022-02-08T14:55:41Z
dc.date.issued2021-07-29
dc.description.abstractIn recent years, the amount of data produced in the field of ART has increased exponentially. The diversity of data is large, ranging from videos to tabular data. At the same time, artificial intelligence (AI) is progressively used in medical practice and may become a promising tool to improve success rates with ART. AI models may compensate for the lack of objectivity in several critical procedures in fertility clinics, especially embryo and sperm assessments. Various models have been developed, and even though several of them show promising performance, there are still many challenges to overcome. In this review, we present recent research on AI in the context of ART. We discuss the strengths and weaknesses of the presented methods, especially regarding clinical relevance. We also address the pitfalls hampering successful use of AI in the clinic and discuss future possibilities and important aspects to make AI truly useful for ART.en_US
dc.descriptionThis is a pre-copyedited, author-produced version of an article accepted for publication in <i>Human Reproduction</i> following peer review. The version of record Riegler, Stensen, Witczak, Andersen, Hicks, Hammer, Delbarre, Halvorsen, Yazidi, Holst, Haugen. Artificial intelligence in the fertility clinic: status, pitfalls and possibilities. Human Reproduction. 2021 is available online at: <a href=https://doi.org/10.1093/humrep/deab168>https://doi.org/10.1093/humrep/deab168</a>.en_US
dc.identifier.citationRiegler, Stensen, Witczak, Andersen, Hicks, Hammer, Delbarre, Halvorsen, Yazidi, Holst, Haugen. Artificial intelligence in the fertility clinic: status, pitfalls and possibilities. Human Reproduction. 2021en_US
dc.identifier.cristinIDFRIDAID 1952194
dc.identifier.doi10.1093/humrep/deab168
dc.identifier.issn0268-1161
dc.identifier.issn1460-2350
dc.identifier.urihttps://hdl.handle.net/10037/23966
dc.language.isoengen_US
dc.publisherOxford University Pressen_US
dc.relation.journalHuman Reproduction
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2021 The Author(s)en_US
dc.titleArtificial intelligence in the fertility clinic: status, pitfalls and possibilitiesen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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