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Associations between the artificial intelligence scoring system and live birth outcomes in preimplantation genetic testing for aneuploidy cycles.

Chun-I LeeChun-Chia HuangTsung-Hsien LeeHsiu-Hui ChenEn-Hui ChengPin-Yao LinTzu-Ning YuChung-I ChenChien-Hong ChenMaw-Sheng Lee
Published in: Reproductive biology and endocrinology : RB&E (2024)
Although its predictive ability can be further enhanced, the AI score was significantly associated with LB probability in SET cycles. Euploid or mosaic blastocysts with low AI scores (≤ 7.8) were associated with a lower LB rate, indicating the potential of this annotation-free AI system as a decision-support tool for deselecting embryos with poor pregnancy outcomes following PGT-A.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • pregnancy outcomes
  • preterm birth
  • gestational age
  • metabolic syndrome
  • human health
  • climate change
  • insulin resistance
  • glycemic control