Application of artificial intelligence to improve the effectiveness of assisted reproductive technology programs

Infertility affects up to 17.5% of couples of reproductive age, which significantly increases the demand for assisted reproductive technologies (ART). Despite various transformations and modernisation of programmes, the live birth rate with in vitro fertilisation (IVF) remains low, resulting in the need for several protocols to achieve live births. An important factor in the success of IVF is the qualification of specialists, but despite its high level, the human factor and a certain amount of subjectivity in the work of reproductologists and embryologists cannot be avoided. Artificial Intelligence (AI) offers significant opportunities to improve various aspects of IVF, for example, AI models can accurately predict hormone doses, and automate ultrasound monitoring, reducing examination time. AI also improves sperm selection for intracytoplasmic injection and helps select embryos with the best chance of implantation, improving accuracy and reducing subjective evaluation. In addition, AI can play an important role in training professionals, improving their skills and increasing the accuracy of decision-making. The introduction of AI into clinical practice is a promising area for improving IVF outcomes