The lecture highlights the role of Artificial Intelligence (AI) in contemporary orthodontics. The use of intelligent software in medicine and dentistry aims to simplify access to care, ensure the safety of services provided, engage patients, support research and innovation, respect patients' privacy and rights, while maintaining a constant human oversight to ensure long-term reliability and provide training to healthcare professionals on the use of such tools. It is anticipated that AI will be able to not only integrate visual and non-visual information for perception and reasoning but also actively interact with the surrounding environment, demonstrating planning capabilities. Machine learning has achieved remarkable results by streamlining every phase of the workflow, from diagnosis to treatment planning and execution, to communication with the patient. However, it is important to emphasize that, until now, deep learning techniques can still make errors, hence the presence of a professional to evaluate the results based on their own expertise is necessary. The significant increase in dental Big Data can enable improvements in intelligent systems, and the presence of cloud services ensures the sharing of acquired information. Integrating all patient data, including oral cavity data, allows for the development of personalized therapy, reducing treatment times and achieving better outcomes. The objective of the lecture is to briefly describe the principles on which AI is based and how it has been implemented in terms of efficiency and speed in the diagnostic, design, and procedural processes in the field of orthodontics. Subsequently, it will be shown how AI integrated into the image processing of Cone Beam Computed Tomography (CBCT) scans has significantly accelerated two-dimensional and three-dimensional cephalometric procedures. Data acquisition through the deep learning process enables clinicians to generate a clear and efficient cephalometric diagnosis with a limited number of clicks, both in 2D and 3D versions. The efficiency of this procedure allows the new generation of orthodontists to not overlook the information derived from proper cephalometric use. Furthermore, it will be demonstrated how AI support has enhanced the efficiency and precision of orthognathic surgery designs carried out with dedicated software.


Learning Objectives
After this lecture, you will be able to understand the benefit of AI in contemporary Orthodontics
After this lecture, you will be able to recognize the tool of AI used in 2D and 3D cephalometry
After this lecture, you will be able to evaluate the efficacy of AI in Orthodontics