Assessment of artificial intelligence model and manual morphokinetic annotation system as embryo grading methods for successful live birth prediction: a retrospective monocentric study

• Main Authors: Myrto-Sotiria Papamentzelopoulou (Author), Ilectra-Niki Prifti (Author), Despoina Mavrogianni (Author), Thomais Tseva (Author), Ntilay Soyhan (Author), Aikaterini Athanasiou (Author), Antonia Athanasiou (Author), Adamantios Athanasiou (Author), Paraskevi Vogiatzi (Author), George Konomos (Author), Dimitrios Loutradis (Author), Maria Sakellariou (Author)
• Format: Book
• Published: BMC, 2024-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Purpose The introduction of the time-lapse monitoring system (TMS) and the development of predictive algorithms could contribute to the optimal embryos selection for transfer. Therefore, the present study aims at investigating the efficiency of KIDScore and iDAScore systems for blastocyst s...