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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
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 |