The role of AI and machine learning in contemporary orthodontics

Abstract

In the past 20 years, the orthodontic profession has adopted digital technologies such as computer-assisted tooth movement, automated staged dental aligner production, and 3D simulations. Until recently, the use of artificial intelligence (AI) was limited to narrow intelligence and supervised “learning” such as automated cephalometric point recognition, segmentation of teeth from 3D files, and staging of orthodontic treatment. The next step will be to create neural networks based on general intelligence (the human intelligence is considered general intelligence), where the network using powerful computers and complex algorithms will “learn” orthodontic diagnosis and treatment planning to suggest the most appropriate treatment plan for optimized treatments and more predictable outcomes. The objectives of this paper are to describe the state of the art in AI and orthodontics and explore potential avenues for future developments and applications.