Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF

STUDY QUESTION: Can an artificial intelligence (AI)-based model predict human embryo viability using images captured by optical light microscopy? SUMMARY ANSWER: We have combined computer vision image processing methods and deep learning techniques to create the non-invasive Life Whisperer AI model...

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Detalles Bibliográficos
Autores principales: VerMilyea, M, Hall, J M M, Diakiw, S M, Johnston, A, Nguyen, T, Perugini, D, Miller, A, Picou, A, Murphy, A P, Perugini, M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192535/
https://www.ncbi.nlm.nih.gov/pubmed/32240301
http://dx.doi.org/10.1093/humrep/deaa013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192535/
https://www.ncbi.nlm.nih.gov/pubmed/32240301
http://dx.doi.org/10.1093/humrep/deaa013

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