Abstract
This project aims to develop, evaluate and make available a platform based on artificial intelligence, focused on machine learning methods such as deep neural networks (deep learning) for the estimation of the mineralization stage of third molars and chronological age of patients using panoramic radiographs. This approach will be essential to allow speed, practicality, robustness and accu…