A combined expected benefit analysis of using two machine learning models for optimizing starting gonadotropin dose and day of trigger during ovarian stimulation

Study question: What is the combined expected benefit of using machine learning algorithms to optimize the starting gonadotropin dose and day of trigger during ovarian stimulation?

Summary answer: Patients who had an optimal starting dose and optimal day of trigger had significantly improved outcomes compared to propensity matched patients who did not.