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