[Progress in application of deep learning in orthodontic diagnosis and treatment]

In recent years, the application of artificial intelligence technology in the field of orthodontics has gradually increased, and deep learning, as a hot direction, has also been rapidly applied in the detection, evaluation, diagnosis, prediction and effect evaluation. At present, deep learning research has the advantages of high efficiency and accuracy, but it also has limitations such as weak interpretability and insufficient data volume. This paper reviewed the proposal and development of deep learning, the application in orthodontic diagnosis and treatment, as well as the limitations and countermeasures of the popularization, and prospect of the future research.