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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Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2024-01-01
Series:	Reproductive Biology and Endocrinology
Assuntos:	iDAScore Artificial intelligence Live birth Single embryo transfer Preimplantation genetic testing for aneuploidy
Acceso en liña:	https://doi.org/10.1186/s12958-024-01185-y
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