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Meiosis II is the second and final stage of meiosis. It relies on the haploid cells produced during meiosis I, each of which contain only 23 chromosomes—one from each homologous initial pair. Importantly, each chromosome in these cells is composed of two joined copies, and when these cells enter meiosis II, the goal is to separate such sister chromatids using the same microtubule-based network employed in other division processes. The result of meiosis II is two haploid cells, each...
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Automated Single-Sperm Selection Software (SiD) during ICSI: A Prospective Sibling Oocyte Evaluation.

Debbie Montjean1, Marie-Hélène Godin Pagé1, Carmen Pacios1

  • 1Centre d'aide médicale à la procréation Fertilys, 1950 Maurice-Gauvin Street, Laval, QC H7S 1Z5, Canada.

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Summary

Artificial intelligence (AI) sperm selection using the SiD software showed comparable outcomes to traditional methods in intracytoplasmic sperm injection (ICSI). This AI tool offers similar fertilization, embryo development, and pregnancy rates, suggesting its potential efficacy.

Keywords:
ICSIartificial intelligenceautomated sperm selectionlaboratory outcomespregnancy rate

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Area of Science:

  • Reproductive Medicine
  • Assisted Reproductive Technology (ART)
  • Sperm Selection Technologies

Background:

  • Traditional sperm selection relies on embryologist expertise, with limited studies on AI-assisted methods.
  • Computer-assisted sperm selection programs, like SiD, aim to objectively assess sperm motility for improved outcomes.
  • The correlation between AI-assisted sperm selection and intracytoplasmic sperm injection (ICSI) success requires further investigation.

Purpose of the Study:

  • To evaluate the efficacy of AI-assisted sperm selection using SiD software compared to traditional embryologist selection in ICSI.
  • To assess the impact of SiD software on various ICSI biological parameters and pregnancy rates.

Main Methods:

  • A total of 646 sibling MII oocytes were randomized into two groups for ICSI.
  • Group 1 (ICSI group): Sperm selected by an embryologist (n=320).
  • Group 2 (ICSI-SiD group): Sperm selected using SiD software (n=326).
  • Embryo development was monitored using a timelapse system.

Main Results:

  • The ICSI-SiD group showed a non-significant trend towards improved fertilization, cleavage, and embryo development (Day 3 and Day 5 blastocyst quality).
  • Fertilization events occurred significantly earlier in some cases when using SiD for ICSI.
  • Cumulative early and clinical pregnancy rates were comparable between the ICSI and ICSI-SiD groups.

Conclusions:

  • Automated sperm selection software (SiD) demonstrates comparable biological outcomes to traditional methods in ICSI.
  • SiD software shows potential efficacy in sperm selection for ICSI procedures.
  • Further research is warranted to explore the long-term impact and clinical benefits of AI-assisted sperm selection.