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

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

Abstract Background Several studies have demonstrated that iDAScore is more accurate in predicting pregnancy outcomes in cycles without preimplantation genetic testing for aneuploidy (PGT-A) compared to KIDScore and the Gardner criteria. However, the effectiveness of iDAScore in cycles with PGT-A ha...

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Bibliographic Details
Main Authors: Chun-I Lee, Chun-Chia Huang, Tsung-Hsien Lee, Hsiu-Hui Chen, En-Hui Cheng, Pin-Yao Lin, Tzu-Ning Yu, Chung-I Chen, Chien-Hong Chen, Maw-Sheng Lee
Format: Article
Language:English
Published: BMC 2024-01-01
Series:Reproductive Biology and Endocrinology
Subjects:
iDAScore
Artificial intelligence
Live birth
Single embryo transfer
Preimplantation genetic testing for aneuploidy
Online Access:https://doi.org/10.1186/s12958-024-01185-y

Internet

https://doi.org/10.1186/s12958-024-01185-y

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