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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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Príomhchruthaitheoirí: 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
Formáid: Artigo
Teanga:Inglês
Foilsithe / Cruthaithe: Royan Institute (ACECR), Tehran 2024-10-01
Sraith:International Journal of Fertility and Sterility
Ábhair:
Rochtain ar líne:https://www.ijfs.ir/article_710431_70171624b1aa85dfbe47002ef182761a.pdf
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