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US 2019/0244354 A1Published application
Methods and systems for determining quality of an oocyte
OwnerDan Nayot, Rene MICHAEL BHARTI +2inventors
InventorsDan Nayot, Rene MICHAEL BHARTI, JIM MERIANO, ALEXANDR KRIVOI
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Abstract
Methods and systems for determining quality of an oocyte to reach various reproductive milestones, including fertilizing, developing into a viable embryo (blastocyst), implanting into the uterus, and reaching a clinical pregnancy, through visual assessment (non-invasive) from a single image using artificial intelligence software.
Claims7
A method for determining quality of an oocyte, comprising:
- retrieving, from one or more databases, a set of images related to a plurality of oocytes and associated reproductive milestone data, wherein the fertilization data indicates whether the oocyte was fertilized or not, wherein there are plurality of images in the set of images associated with each of the plurality of oocytes;
- extracting features from the set of images and correlating the features, using artificial intelligence, with whether the oocyte was fertilized or not;
- receiving an image of a potential oocyte;
- and
- determining, using one or more processors, likelihood of reaching each of the reproductive milestones of the potential oocyte based on the extracted features and the image of the potential oocyte, wherein determining likelihood of fertilization comprises:
- extracting target oocyte features from the image of the potential oocyte;
- comparing target oocyte features with the extracted features;
- and
- outputting a result based on the comparison and the correlation.
6 more elements
Dependencies are inferred from the claim text.