Abstract
Background and Aim: Time-lapse culture of embryos increased the amount of information available from embryos to help prioritise embryos for treatment. Manual annotations of time-lapse images are time-consuming, prone to human error and inconsistencies. Artificial Intelligence support tools, such as CHLOE-EQ, have the potential to improve efficacy of selection, efficiency of time-lapse data processing, reduce process related risk and increase consistency in clinical decision making. To bring these benefits into reality, it is first necessary to validate CHLOE-EQ's ability to process time-lapse data.
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