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.

Periodontal diseases, diagnosis, periodontitis, epidemiology, radiography, artificial intelligence

Grudyanov A.I. Periodontal Diseases. - M.: Medical Information Agency, 2009.

Dmitrieva L.A. Periodontology: National Guide. - M.: GEOTAR-Media, 2018.

OrechovaL.Yu., Loboda E.S. Diagnosis and treatment of periodontal diseases. - St. Petersburg, 2016.

Alimov A.A. Periodontology: a study guide. - Tashkent, 2017.

Rakhmatov N.A., Yusupov Sh.M. Modern aspects of periodontal disease diagnosis. - Тошкент, 2020.

Newman M.G., Takei H., Klokkavold P., Carranza F. Carranza's Clinical Periodontology. - Tashkent, 2021.

Lindhe J., Lang N.P., Karring T. Clinical Periodontology and Implant Dentistry. Wiley-Blackwell, 2015.

Slots J. Periodontitis: facts, fallacies, and the future. — Periodontology 2000.

Tonetti M.S., Jepsen S. Clinical efficacy of periodontal diagnostics. — Journal of Clinical Periodontology, 2018.

Papapanou P.N. Epidemiology of periodontal diseases. - Paris, 2000.