Artificial Intelligence in Embryo Selection: Revolutionising IVF Laboratory Practices

In vitro fertilization (IVF) has transformed the treatment of infertility, with embryo selection being a critical determinant of success. Traditionally, embryologists relied on morphological grading and subjective evaluation. However, recent developments in artificial intelligence (AI) are reshaping embryo selection, offering objective, accurate, and predictive tools to enhance clinical outcomes. This article reviews the evolution of AI-based embryo assessment, explores its integration with time-lapse imaging and omics data, and analyses its impact on implantation and live birth rates. Ethical concerns, regulatory issues, and future directions are also discussed, highlighting AI’s potential to revolutionise reproductive medicine.