How AI can support standardization in artificial fertilization

Artificial intelligence has found its way into many areas of life in recent years and can provide useful knowledge, especially in the medical field, for example in the area of cancer research. This article is intended to give data scientists an insight into the field of assisted reproductive technology (ART) for artificial fertilization and to provide an overview of the latest studies with artificial intelligence in this area. For this purpose, various websites of fertility clinics as well as the latest scientific articles on this field were screened and combined. The article does not provide a discussion of the robustness of each finding, but discusses the general limitations of the studies. It is shown that various algorithms and AI systems already exist for the various steps of artificial fertilization, but that these must be subjected to long-term verification in real clinical and laboratory everyday life