Research is being conducted on the use of electrocardiographic data to estimate age and track maturity patterns in children. Studies are exploring the application of artificial intelligence models and deep learning to analyze ECG data from various sources, including smartwatches and standard 12-lead ECGs. The goal of this research appears to be improving diagnostic approaches and risk stratification for pediatric heart conditions, although the specific focus and methods of the studies vary.