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Assessment of artificial intelligence model and manual morphokinetic annotation system as embryo grading methods for successful live birth prediction: a retrospective monocentric study.

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Title: Assessment of artificial intelligence model and manual morphokinetic annotation system as embryo grading methods for successful live birth prediction: a retrospective monocentric study.
Authors: Papamentzelopoulou, Myrto-Sotiria1 (AUTHOR) mpntua@yahoo.gr, Prifti, Ilectra-Niki2 (AUTHOR), Mavrogianni, Despoina1 (AUTHOR), Tseva, Thomais2 (AUTHOR), Soyhan, Ntilay2 (AUTHOR), Athanasiou, Aikaterini2,3 (AUTHOR), Athanasiou, Antonia2,4 (AUTHOR), Athanasiou, Adamantios2,5 (AUTHOR), Vogiatzi, Paraskevi2,6 (AUTHOR), Konomos, George7 (AUTHOR), Loutradis, Dimitrios8 (AUTHOR), Sakellariou, Maria2 (AUTHOR)
Source: Reproductive Biology & Endocrinology. 3/5/2024, Vol. 22 Issue 1, p1-10. 10p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Reproductive+Biology+%26+Endocrinology%22">Reproductive Biology & Endocrinology</searchLink>. 3/5/2024, Vol. 22 Issue 1, p1-10. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=176006184
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        Value: 10.1186/s12958-024-01198-7
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              Text: 3/5/2024
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