AI in Reproductive Medicine: Hope or Hype?

Artificial intelligence (AI) is increasingly used in reproductive endocrinology and infertility (REI), influencing nearly all aspects of assisted reproduction. Reported applications include ovarian stimulation, gamete and embryo assessment, endometrial evaluation, and prediction of IVF outcomes. These tools may reduce subjectivity, standardize grading, and provide individualized prognostic information. Predictive models for fertilization, implantation, miscarriage risk, and live birth have been developed, along with decision-support tools for embryo transfer and treatment continuation. However, most studies are retrospective and limited to intermediate outcomes. Concerns about generalizability, transparency, accountability, and equity remain. AI represents both hope and hype, pending rigorous, outcome-based validation.