Aim: to review and analyze scientific and medical information on artificial intelligence in orthodontic dentistry. Materials and Methods: A review and analysis of scientific and medical literature on the application of artificial intelligence in orthodontic dentistry was conducted. The literature search was carried out in the Scopus, Web of Science, and Google Scholar databases. The following combinations of keywords were used: “artificial intelligence in orthodontics”, “3D planning orthodontics”, and “machine learning in orthodontics”. Inclusion criteria: publications from 2020–2025; original studies (clinical and experimental); the use of AI in diagnosis, planning, or treatment in orthodontics. Exclusion criteria: systematic reviews (considered only in the introduction), commentaries, expert opinions, and studies without a description of the practical use of AI. Search results: 312 articles were found; after removing duplicates — 238; after analyzing titles and abstracts — 82; a total of 12 articles were included in the final analysis. Conclusions: Artificial intelligence represents a promising tool in orthodontics, enhancing diagnostic accuracy, optimizing treatment planning, and improving outcome prediction. The integration of multimodal data supports comprehensive patient assessment and individualized treatment strategies.