GH1 and hereditary endocrine growth disease: Our study emphasizes the power of AI techniques–big data processing, machine learning, and statistical models–on real-world data from more than 10,000 patients with growth disorders to predict future adherence to r-hGH, with sensitivities of between 72 and 77% and specificities of between 80 and 81%.