Generation of big data for fertility treatment at the national level in south korea

AI research projects to automatically grade embryos and predict pregnancy has been a popular topic. However, it is challenging to collect standardized embryo images and clinical data from multiple medical institutions using different electronic health records (EHR). Also, clinics use slightly different criteria to evaluate embryos. In South Korea, the cost of infertility treatment is covered by the National Health Insurance and fertility data has been accumulating. We would like to introduce the government funded project to collect and label fertility data at the national level.