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Criteria for implementing artificial intelligence systems in reproductive medicine. Enric Güell et al. Clin Exp Reprod Med 2023 |
A Bayesian network model for prediction of low or failed fertilization in assisted reproductive technology based on a large clinical real-world data. Tian Tian et al. Reproductive biology and endocrinology : RB&E 2023 21(1) 8 |
Development of a Model to Estimate the Optimal Number of Oocytes to Attempt to Fertilize During Assisted Reproductive Technology Treatment. Correia Katharine F B et al. JAMA network open 2023 6(1) e2249395 |
Comparison of predictive models for cumulative live birth rate after treatment with ART. Bardet Léna et al. Reproductive biomedicine online 2022 |
Perinatal health predictors using artificial intelligence: A review. Ramakrishnan Rema et al. Women's health (London, England) 2021 1717455065211046132 |
Artificial intelligence in reproductive medicine. Wang Renjie et al. Reproduction (Cambridge, England) 2019 Apr |