AI and Fertility Service: Present and Future Reality?

Artificial Intelligence (AI) has evolved rapidly the last few years and has passed from experiments to implementation period even in medicine. Progress in neural networks and theories, the accessibility of large datasets and advances in computing power have assist to new achievements in present AI applications. With the help of Machine Learning (ML), computers can discover models from large and puzzling dataset automatically and as result can predict outcomes with high accuracy. It looks like AI can play a crucial role in healthcare and improve the performance of Assisted Reproductive Technology (ART). At the current situation, a variety of challenges are creating questions about AI. It is obvious though, that it will direct the different fields of medicine in further development and improvement. This review is presenting the existing use of automation at some aspects of ART and also improvements that can be produced through that approach.