Development of an artificial intelligence model for predicting the likelihood of human embryo euploidy based on blastocyst images from multiple imaging systems during IVF

STUDY QUESTION: Can an artificial intelligence (AI) model predict human embryo ploidy status using static images captured by optical light microscopy? SUMMARY ANSWER: Results demonstrated predictive accuracy for embryo euploidy and showed a significant correlation between AI score and euploidy rate,...

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Detalles Bibliográficos
Autores principales: Diakiw, S M, Hall, J M M, VerMilyea, M D, Amin, J, Aizpurua, J, Giardini, L, Briones, Y G, Lim, A Y X, Dakka, M A, Nguyen, T V, Perugini, D, Perugini, M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340116/
https://www.ncbi.nlm.nih.gov/pubmed/35674312
http://dx.doi.org/10.1093/humrep/deac131

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340116/
https://www.ncbi.nlm.nih.gov/pubmed/35674312
http://dx.doi.org/10.1093/humrep/deac131

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