Researchers from multiple US fertility centers reveal that center-specific machine learning models deliver better live birth predictions than traditional national registry approaches. By integrating detailed patient and clinic data, these models enhance prognostic counseling and pricing strategy. For example, improved metrics like PR-AUC and F1 scores support their use to advance personalized care in IVF treatments.