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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	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
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	BMC 2024-01-01
سلاسل:	Reproductive Biology and Endocrinology
الموضوعات:	iDAScore Artificial intelligence Live birth Single embryo transfer Preimplantation genetic testing for aneuploidy
الوصول للمادة أونلاين:	https://doi.org/10.1186/s12958-024-01185-y
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!