Vestec

Researchers are investigating the use of artificial intelligence (AI) to improve assisted reproductive techniques by assessing factors such as oocyte quality, embryo ploidy, and pregnancy success probability. This study focuses on infertility affecting both females and males, considering key elements like the age of women, oocyte maturation, and sperm quality. The AI approach includes analyzing images of the meiotic spindle in oocytes and time-lapse videos of early embryo development to enhance the prediction of successful fertilization and pregnancy. The study applies AI to evaluate complex data starting from the polarized light imaging of the meiotic spindle, incorporating paternal factors, and using time-lapse recordings of embryo development after intracytoplasmic sperm injection (ICSI). The AI system aims to automate the analysis of oocyte images and embryo videos to identify promising candidates for implantation, potentially reducing the need for costly laboratory tests. This collaboration involves multiple institutions developing software tools to predict embryo ploidy status and pregnancy chances based on these imaging techniques. Participants will undergo procedures including ICSI, preimplantation genetic testing, and time-lapse embryo recording. Data from oocyte and embryo imaging along with sperm parameters will be collected and analyzed. The primary outcome measured is the accuracy of AI in correctly predicting embryo ploidy within one hour. The study seeks to improve embryo selection efficiency and reduce treatment costs by using AI-assisted evaluation methods during fertility treatments.