An expected benefit analysis of using an interpretable machine learning model for gonadotropin starting dose selection during ovarian stimulation

Study question: What is the expected benefit of using a machine learning model for predicting the optimal starting dose of gonadotropin during ovarian stimulation?

Summary answer: Patients who had an optimal starting gonadotropin dose had improved outcomes and used significantly less total FSH compared to propensity matched patients who did not.