APPLICATION OF A NEURAL NETWORK ALGORITHM IN DENTAL PRACTICE

The article examines the current state and development of artificial intelligence (AI) technologies in practical dentistry. The review is devoted to the analysis of existing research and publications, identifying key applications of AI in the diagnosis, treatment and prognosis of dental diseases. The main focus is on neural networks and their use for image analysis, including X-ray images, computed tomography and 3D models of jaws. The importance of using AI for the diagnosis of caries, identification of teeth, visualization of pathological processes, assessment of the morphology of teeth and bone structures, as well as predicting treatment is emphasized. The article presents the results of the authors’ own research, as well as an analysis of the effectiveness of various technologies such as convolutional neural networks (CNN), artificial neural networks (ANN), and discusses achievements in the field of deep learning. The findings confirm that the use of AI can significantly improve diagnostic accuracy, facilitate treatment planning and improve clinical decisions, as well as optimize workflows in dental practice. The study was conducted as part of the scientific work on the development of a methodology for neural network analysis and forecasting the risk of developing violations of occlusive relationships within the framework of the implementation of the Russian Science Foundation grant dated 12.04.2024 No. 24-25-20098 and the Agreement on the provision from the regional budget (Volgograd region) subsidies dated 31.05.2024 No. 10.