A Combination of Artificial Intelligence with Genetic Algorithms on Static Time-Lapse Images Improves Consistency in Blastocyst Assessment, An Interpretable Tool to Automate Human Embryo Evaluation: A Retrospective Cohort Study

Background: In recent times, various algorithms have been developed to assist in the selection of embryos fortransfer based on artificial intelligence (AI). Nevertheless, the majority of AI models employed in this context werecharacterized by a lack of transparency. To address these concerns, we aim...

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Váldodahkkit:	Marco Toschi, Lorena Bori, Jose Celso Rocha, Cristina Hickman, Marcelo Fabio Gouveia Nogueira, Andre Satoshi Ferreira, Murilo Costa Maffeis, Jonas Malmsten, Qiansheng Zhan, Nikica Zaninovic, Marcos Meseguer
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Royan Institute (ACECR), Tehran 2024-10-01
Ráidu:	International Journal of Fertility and Sterility
Fáttát:	artificial intelligence blastocyst time-lapse
Liŋkkat:	https://www.ijfs.ir/article_710431_70171624b1aa85dfbe47002ef182761a.pdf
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