Modern Methods For Diagnosing Periodontal Diseases And Analytical Assessment Of The Role Of Artificial Intelligence

Abstract

Parodontal diseases remain one of the most common dental pathologies worldwide and represent not only a medical but also a serious social problem. The effectiveness of treatment depends directly on timely and accurate diagnosis, especially in the early stages of the disease. The article provides an analytical overview of modern methods for diagnosing periodontal diseases, including clinical, radiological, and laboratory approaches. Epidemiological data reflecting the prevalence of periodontal pathology, as well as a comparative analysis of various possible diagnostic methods, are presented. Particular attention is paid to the application of artificial intelligence technologies that allow for the streamlining of clinical and visual data, increasing the objectivity of diagnosis, and accelerating information analysis. It has been shown that the use of artificial intelligence is a promising direction for the development of modern periodontology as a narrow field.