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 LeePublished 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.