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

• Main Authors: Chun-I Lee (Author), Chun-Chia Huang (Author), Tsung-Hsien Lee (Author), Hsiu-Hui Chen (Author), En-Hui Cheng (Author), Pin-Yao Lin (Author), Tzu-Ning Yu (Author), Chung-I Chen (Author), Chien-Hong Chen (Author), Maw-Sheng Lee (Author)
• Format: Book
• Published: BMC, 2024-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...