Time-lapse deselection model for human day 3 in vitro fertilization embryos: the combination of qualitative and quantitative measures of embryo growth.

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Ethical Implementation of Artificial Intelligence to Select Embryos in In Vitro Fertilization (2021, background): “However, the availability of numerous data points made available by recent advances, such as with time-lapse videography [10], has enabled novel parameters to be measured for embryo selection [11, 12, 13].”
Assessing efficacy of day 3 embryo time-lapse algorithms retrospectively: impacts of dataset type and confounding factors (2019, methodology): “Also, the dataset in the current model was originally used to develop the Liu et al. (2016) algorithm, and thus high predictive power of Liu model would be expected.”
Between-laboratory reproducibility of time-lapse embryo selection using qualitative and quantitative parameters: a systematic review and meta-analysis (2020, methodology): “This strategy is therefore considered helpful in improving transferability of TL embryo selection models [3].”