This research opens exciting possibilities for more standardized, efficient, and accessible embryo selection in clinics worldwide — especially where experienced embryologists may be limited.
Additional poster description for MIM website:This ongoing prospective, multicenter study explores how AI can support embryologists in selecting embryos for transfer during IVF. Early results from 221 transfers show that clinical pregnancy rates using AI-based evaluation are comparable to those achieved through standard assessment by experienced embryologists. The EMBRYOAID software demonstrated a strong correlation between its embryo scores and pregnancy outcomes, suggesting it can provide valuable guidance in the selection process. By offering consistent, data-driven insights, AI can assist embryologists in making more informed decisions, especially in cases with ambiguous morphology. This support could improve workflow efficiency and reduce subjectivity in embryo assessment. Further research will help determine AI’s long-term clinical impact, including effects on live birth rates.