DIGITAL TECHNOLOGIES OF INDIVIDUAL PREDICTION SEPARATE TEETH’ CARIES DEVELOPMENT-Reference-Cited by-同舟云学术

DIGITAL TECHNOLOGIES OF INDIVIDUAL PREDICTION SEPARATE TEETH’ CARIES DEVELOPMENT

Published:2023-02-15 Issue:4 Volume:18 Page:35-39
ISSN:2077-7566
Container-title:Actual problems in dentistry
language:en
Short-container-title:

Author:

Salahov Albert¹,losev Fedor²,Sorokina Anastasia²,Bykeev Rustem¹

Affiliation:

1. Kazan State Medical University

2. Central Research Institute of Dentistry and Maxillofacial Surgery

Abstract

Objective. To develop a utilitarian technology for predicting the development of caries in individual teeth of adult patients for up to 2 years. Material and methods. A clinical examination was carried out with the subsequent entry of data into the author's questionnaire. With the help of system programming, a technology for individual prediction of the development of caries of individual teeth has been developed. We used the methods of descriptive statistics, discriminant analysis, digital technologies. Results. A technology has been developed for digital registration and assessment of risk factors (age, profession, marital status, dietary commitment, bad habits, time for brushing teeth, fluoridation, taking vitamins and dietary supplements) for the development of caries. The technology allows you to effectively predict the development of caries for up to 2 years on 1.2, 1.6, 1.7, 2.2, 2.3, 2.5, 2.6, 2.7, 2.8 teeth of the upper and 3.2, 3.3, 3.4, 3.6, 3.7, 4.4, 4.6, 4.7, 4.8 of the lower jaw with a classification accuracy of 50.0–92.6% and 50.4–77.3%, respectively. Conclusion 1. The use of digital technologies in dentistry for reliable registration and effective analysis of the studied risk factors makes it possible to predict the development of caries for up to 2 years on 1.2, 1.6, 1.7, 2.2, 2.3, 2.5, 2.6, 2.7, 2.8 teeth of the upper and 3.2, 3.3, 3.4, 3.6, 3.7, 4.4, 4.6, 4.7, 4.8 of the lower jaw with a classification accuracy of 50.0-92.6% and 50.4-77.3%, respectively. 2. Digital technology for predicting the development of caries of individual teeth contributes to the timely implementation of dental monitoring with high forecast accuracy for individual preventive hygiene measures, which is especially important to reduce the risk of enamel demineralization and the progression of dental diseases. 3. A technology has been developed for predicting the development of caries based on system programming with access and subsequent possibility of posting on the Internet.

Publisher

TIRAZH Publishing House

Subject

General Medicine

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