A computer-implemented method for predicting the likelihood an embryo will produce a human male offspring by processing video image data derived from video of a target embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data to predict the likelihood the target embryo will produce a human male offspring.
HUMAN EMBRYO EVALUATION USING AI/ML ANALYSIS OF REAL-TIME VIDEO FOR PREDICTING MALE-SEX OFFSPRING