An AI Model Can Anticipate Embryo Ploidy Potential
Gonzalez et al., 2022
Chromosomal abnormalities (aneuploidy) are a major cause of IVF failure and miscarriage. Currently, detecting these requires invasive and expensive genetic testing. This study developed an AI model that analyzes embryo images to predict the likelihood of chromosomal abnormalities without any biopsy. Like a skilled detective spotting clues others miss, the AI identifies subtle visual patterns associated with chromosomal health. While not replacing genetic testing entirely, this non-invasive screening tool could help prioritize which embryos to test or transfer first, potentially reducing costs and improving efficiency in IVF cycles.