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Usefulness of embryo evaluation via artificial intelligence-based image analysis.

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Life Whisperer Viability (LW) software uses AI to assess embryo quality from a single image. Higher LW scores significantly correlate with increased fetal heartbeat rates, demonstrating its clinical utility in improving embryo selection for higher pregnancy success.

Keywords:
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Area of Science:

  • Reproductive medicine
  • Embryology
  • Artificial intelligence in healthcare

Background:

  • Traditional embryo evaluation methods can be subjective.
  • Improving the objectivity of embryo assessment is crucial for successful IVF outcomes.
  • Life Whisperer Viability (LW) software utilizes AI to analyze blastocyst images for embryo viability.

Purpose of the Study:

  • To retrospectively analyze the clinical utility of the Life Whisperer Viability (LW) software.
  • To evaluate the association between LW scores and the likelihood of clinical pregnancy.
  • To determine if AI-driven embryo assessment can improve IVF success rates.

Main Methods:

  • Retrospective analysis of 198 frozen single embryo transfer cycles.
  • LW scores were obtained from blastocyst images taken ~116 hours post-fertilization.
  • Patients were grouped by LW score (poor, fair, good, excellent) to compare positive fetal heartbeat rates; logistic regression was used.

Main Results:

  • A significantly higher positive fetal heartbeat rate was observed in the 'excellent' LW score group (64.3%) compared to the 'poor' group (27.6%).
  • Logistic regression analysis revealed a significant association between LW score and the presence of a fetal heartbeat (Odds Ratio = 1.150, P<0.05).

Conclusions:

  • The Life Whisperer Viability (LW) software demonstrates significant clinical utility.
  • LW enables the selection of embryos with a higher potential for successful clinical pregnancy.
  • AI-powered embryo assessment offers a more objective approach to improving IVF outcomes.