ARTIFICIAL INTELLIGENCE IN DENTISTRY: CLINICAL RESEARCH AND APPLICATION PROSPECTS TODAY

Abstract

Artificial intelligence is increasingly used in dentistry, helping to improve diagnostic accuracy, optimize treatment processes, and automate routine procedures. Thanks to machine learning algorithms, artificial intelligence is able to analyze X-ray and CT images with high accuracy, identifying pathological changes in the early stages of disease development. Modern artificial intelligence models are actively being introduced into various areas of dentistry - from cariesology and clinical endodontics to periodontology and assessment of alveolar bone loss. This opens up new possibilities for digital planning, modeling and production of restorations with a high degree of precision and functionality. Additionally, artificial intelligence programs are capable of predicting the development of pathologies and prioritizing risk factors, which improves the quality of clinical decision-making. This article examines aspects of clinical application of artificial intelligence in dental practice. The analysis is based on data from the White Dent clinic in Semey (Abai region). A content analysis of clinical cases and statistical forms of electronic medical records was conducted. Electronic medical records of patients, cone-beam computed tomography data and digital scannedimages of the oral cavity were used to assess the effectiveness and accuracy of the use of artificial intelligence in various dental areas.