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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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Updated: May 15, 2025

Fertility Preservation Through Oocyte Vitrification: Clinical and Laboratory Perspectives
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Artificial Intelligence, Clinical Decision Support Algorithms, Mathematical Models, Calculators Applications in

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Clinical decision support algorithms (CDSAs) show promise for improving assisted reproductive technologies (ARTs) outcomes. Further validation is needed to standardize their use in clinical practice.

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Area of Science:

  • Reproductive Medicine
  • Medical Informatics

Background:

  • Assisted reproductive technologies (ARTs) involve complex decision-making processes.
  • Clinical decision support algorithms (CDSAs) offer potential for optimizing ART outcomes.

Purpose of the Study:

  • To systematically review and evaluate CDSAs for ART.
  • To assess the effectiveness of CDSAs compared to traditional methods in ART cycles.
  • To provide evidence-based guidance for CDSA implementation in ART.

Main Methods:

  • Systematic literature search on PubMed and Embase (January 2013 - January 2024).
  • Inclusion of prospective and retrospective studies on CDSA for ART.
  • Categorization of studies into prognosis, clinical management, and embryo assessment.

Main Results:

  • 116 articles met inclusion criteria from 1746 screened.
  • 11 CDSAs identified as valuable for clinical and laboratory practices.
  • Automated decision aids demonstrate potential to enhance in vitro fertilization outcomes.

Conclusions:

  • CDSAs hold significant potential for improving ART success rates.
  • A key limitation is the lack of standardized validation methods across studies.
  • Further clinical trials and validation are essential to confirm the efficacy of CDSAs in clinical settings.