Embryo evaluation using ai/ml analysis of real-time video for predicting offspring sex

A system comprising:

• one or more processors;
• and
• a computer-readable medium comprising instructions stored therein, which when executed by the one or more processors, cause the one or more processors to:
• predict an embryo outcome by processing video image data of an embryo, said prediction comprising:
• receiving image data derived from video of a target embryo taken at real-time frame speed during an embryo observation period of time, wherein said video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time and wherein said recorded morphokinetic movement is represented in the received image data;
• processing the received image data using a model generated utilizing machine learning and correlated embryo outcome data;
• and
• predicting a likelihood the target embryo will produce a specific sex offspring.

A non-transitory computer-readable storage medium comprising computer-readable instructions, which when executed by a computing system, cause the computing system to:

• predict an embryo outcome by processing video image data of an embryo, said prediction comprising:
• receiving image data derived from video of a target embryo taken at real-time frame speed during an embryo observation period of time, wherein said video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time and wherein said recorded morphokinetic movement is represented in the received image data;
• processing the received image data using a model generated utilizing machine learning and correlated embryo outcome data;
• and
• predicting a likelihood the target embryo will produce a specific sex offspring.