Enhanced predictive performance of artificial intelligence in individualized ovarian stimulation of in vitro fertilization: a retrospective cohort study.

A four-submodel system prototype using extreme gradient boosting trees demonstrated superior detection of abnormal ovarian responses and effective individualized COS design compared to conventional clinical practice while maintaining transparency.