#147 : Artificial Intelligence is Equally Capable of Predicting Viability of Embryos Created from Vitrified Oocytes, Despite Observed Differences in Morphokinetic Behaviour
| Autor: | Gabriella Pereira, Kelli Sorby |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Fertility & Reproduction, Vol 05, Iss 04, Pp 466-466 (2023) |
| Druh dokumentu: | article |
| ISSN: | 26613182 2661-3174 2661-3182 |
| DOI: | 10.1142/S266131822374242X |
| Popis: | Background and Aims: With oocyte vitrification increasingly employed and the ever-expanding presence of artificial intelligence (AI) in the laboratory, it is essential to understand whether the same weight can be given to AI models’ predictions when vitrified oocytes are utilized. Method: Embryos were cultured in Embryoscope+ and assigned an iDA score, generated after 112 hours in culture. Data was collected from 186 vitrified oocyte (VO) cycles using a total of 1577 vitrified oocytes, along with control data from 43,957 fresh oocytes. Data analysed included all standard morphokinetic parameters, iDA scores, embryo utilisation and clinical pregnancy. Statistical analyses were performed using Logistic Regression, Fisher’s exact test and unpaired t-tests. Results: The majority of cycles utilised clinic-recruited donor oocytes (70.7%), followed by autologous (25.9%) and known-donor oocytes (3.4%). No difference was observed in blastocyst utilisation between the three groups (48.0%, 48.1% and 52.9% respectively). In patients undertaking a single cycle utilising both fresh and vitrified oocytes, blastocyst utilisation was significantly higher in fresh oocytes (58.98% vs. 41.12%, p |
| Databáze: | Directory of Open Access Journals |
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