Since the late 1990s, the improved accessibility of biomedical data has hastened the application of artificial intelligence (AI) in reproductive medicine. AI can guide optimal clinical management for infertile couples, improving clinical and patient reported outcomes as well as promoting cost-effectiveness. Previously, AI for artificial reproduction has been applied to gamete selection and for predicting the outcomes of in vitro fertilization (IVF). Sperm selection techniques using AI that correlate with fertilization potential and successful IVF cycles are limited.
