Decoding embryo development: the effect of clinical variables in morphokinetics and artificial intelligence quality scoring.

Jorge Ten¹, M Carmen Tio¹, Pedro Pini², Korey Kelley³, Jaime Guerrrero¹, Adoración Rodríguez-Arnedo¹, Alexa Zepeda⁴, Alex Mutter⁵, Nerea Diaz¹, Miguel Herreros¹, Tom Latin⁶, Adriana Brualla⁷, Cristina Hickman⁵, Andrea Bernabeu¹, Rafael Bernabeu¹, Klaus Wiemer⁸

¹Instituto Bernabeu, Alicante, Spain.

²Fairtility, Buenos Aires, Argentina.

³Fairtility, Seattle, Washington, USA.

⁴Fairtility, Rotterdam, Netherlands.

⁵Fairtility, London, UK.

⁶Fairtility, Tel Aviv, Israel.

⁷Fairtility, Cataluña, Spain.

⁸Fairtility, Seattle, Washington, USA.. Electronic address: klaus.wiemer@fairtility.com.

PubMed DOI

Abstract

RESEARCH QUESTION: Do morphokinetic events (MKS) and patient parameters affect resulting embryo quality scores, and how does this relate to pregnancy outcomes as assessed by a time-lapse incubator using an artificial intelligence (AI) embryologist support tool? DESIGN: Retrospective study analysing data from 6024 embryos retrieved over 1636 cycles. The dataset comprised 3778 donor oocytes and 224…

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