MODERN APPROACHES TO THE APPLICATION OF DIGITAL TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN DENTAL EDUCATION AND PRACTICE (LITERATURE REVIEW)

Abstract

Abstract

Background. Digital technologies and artificial intelligence are increasingly entering not only the everyday life of every person, but also medicine, in particular dental practice and medical education. Artificial intelligence technologies are developing especially rapidly, which open up new opportunities for training future dentists and facilitate the work of doctors in practice. Artificial intelligence is already used to analyze X-ray images, predict treatment outcomes and create individual dental treatment plans. The introduction of intelligent learning systems and virtual reality into dental education and the use of artificial intelligence in practice is not only a modern and relevant topic, but also a necessary condition for training future specialists in dentistry, capable of working effectively in the conditions of modern digital medicine. The purpose of the work. To analyst the possibilities and prospects of applying artificial intelligence in the training system of dental students, as well as to evaluate their impact on enhancing the effectiveness of clinical practice among dentists within the context of digital transformation in healthcare. Materials and methods. In the course of the study, scientific developments published on the research platforms Google Scholar and PubMed were analyzed. Semantic analysis of sources were used. The methodological basis of the study was a systematic approach. Results and discussions. Analysis of available systematic reviews suggests that the use of artificial intelligence in the education of dental students increases the quality of education, and use in clinical practice improves diagnostic accuracy, contributing to a personalized approach and more effective treatment of patients. Conclusions. The use of artificial intelligence in the work of a dentist helps to improve diagnostics and planning, as it allows for automatic analysis of diagnostic images and the creation of personalized treatment plans. The use of digital protocols and automated technologies allows for the development of personalized treatment plans, which increases their effectiveness. Despite the advantages, the successful application of such technologies requires careful validation of models, adaptation to individual clinical needs, and consideration of ethical and legal aspects.