Artificial Intelligence (AI)-Based Systems for Automatic Skeletal Maturity Assessment through Bone and Teeth Analysis: A Revolution in the Radiological Workflow?

Bone age is an indicator of bone maturity and useful for the treatment different pediatric conditions as well legal issues. can be assessed by analysis skeletal segments teeth through several methods; however, traditional assessment a complicated time-consuming process, prone to inter- intra-observer variability. There high demand fully automated systems, but creating accurate reliable solution has proven difficult. Deep learning technology, machine learning, Convolutional Neural Networks-based which are rapidly evolving, have shown promising results in assessment. We provide background estimation, its usefulness methods assessment, review currently artificial-intelligence-based solutions future perspectives these applications.