With the rapid development of precision medicine and big data application, artificial intelligence (AI) has become a frontier technology in medical research. AI can be applied to the clinical diagnosis and treatment of reproductive diseases, prediction of pregnancy outcomes for infertile patients via the multi-layer neural network, and identification of the embryos with more developing potential from a series of embryo images by extraction of their texture features. AI can also provide medical workers with more accurate diagnosis and individualized treatment of reproductive diseases and help the patients better predict their reproductivity. This article presents an overview of the status quo, existing problems and future development of the application of AI in reproductive medicine.