Training a machine learning model to assess embryo characteristics from video image data

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:
• execute training of a computer-based machine learning model that assesses an embryo characteristic-of-interest by processing video of each of a plurality of embryos and wherein a subset of said embryos each embodies the characteristic-of-interest, said training comprising:
• obtaining a plurality of training videos, each video being of a target embryo and each video having a real-time frame speed over a continuous recording duration of ten minutes or less and wherein each video comprises image data representing micro-movement of the target embryo;
• pairing said image data to known outcome data of the characteristic-of-interest;
• and
• analyzing the paired data by determining characteristics in said image data that are indicative of the characteristic-of-interest using machine learning to thereby generate a computer-based machine learning model.

A non-transitory computer-readable storage medium comprising computer-readable instructions, which when executed by a computing system, execute training of a computer-based machine learning model that assesses an embryo characteristic-of-interest by processing video of each of a plurality of embryos and wherein a subset of said embryos each embodies the characteristic-of-interest, said training comprising:

• obtaining a plurality of training videos, each video being of a target embryo and each video having a real-time frame speed over a continuous recording duration of ten minutes or less and wherein each video comprises image data representing micro-movement of the target embryo;
• pairing said image data to known outcome data of the characteristic-of-interest;
• and
• analyzing the paired data by determining characteristics in said image data that are indicative of the characteristic-of-interest using machine learning to thereby generate a computer-based machine learning model.