Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics

OBJECTIVE: To evaluate the feasibility of generating a center-specific embryo morphokinetic algorithm by time-lapse microscopy to predict clinical pregnancy rates. DESIGN: A retrospective cohort analysis. SETTING: Academic fertility clinic in a tertiary hospital setting. PATIENT(S): Patients who und...

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Detalles Bibliográficos
Autores principales: Yang, Liubin, Peavey, Mary, Kaskar, Khalied, Chappell, Neil, Zhu, Lynn, Devlin, Darius, Valdes, Cecilia, Schutt, Amy, Woodard, Terri, Zarutskie, Paul, Cochran, Richard, Gibbons, William E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250114/
https://www.ncbi.nlm.nih.gov/pubmed/35789724
http://dx.doi.org/10.1016/j.xfre.2022.04.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250114/
https://www.ncbi.nlm.nih.gov/pubmed/35789724
http://dx.doi.org/10.1016/j.xfre.2022.04.004

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