MODERN APPLICATIONS AND CAPABILITIES OF ARTIFICIAL INTELLIGENCE FOR 3D VISUALIZATION IN DENTAL RESEARCH AND PRACTICE

konstantin Koshelev, Dmitriy Bazhanov, N. Belousov, Vitaliy Bulanov, Artem Gerasimov
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Abstract

The aim of study. Study the available specialized literature on the use of CBCT in maxillofacial imaging and the combination of this research method with artificial intelligence to improve the diagnosis and treatment of complex dental diseases. Methodology. The data of special literature were studied using scientific search library databases: Pub Med, Elibrary, Cochrane, Google Scholar. Results. The use of cone-beam computed tomography (CBCT) in the examination of patients in need of prosthetics allows to obtain a large amount of diagnostic information about the condition of hard tissues of teeth, bone tissue of jaws, temporomandibular joint and nearby anatomical structures in comparison with other radiological methods of additional examination of patients. The possibilities of this type of research were evaluated together with a representative of the "Diagnocat" artificial intelligence system and an analysis of its advantages was carried out. It also describes a comprehensive protocol for planning orthopedic treatment of patients based on digital (virtual) modeling and its advantages for a practicing orthopedic dentist. Conclusions. The CBCT method is widely used in modern dental practice due to its accuracy, accessibility and high objectivity. Artificial intelligence technologies introduced into the planning process of complex dental treatment are gradually becoming a tool for the practitioner. Automatic recognition of teeth and diagnostics of facial deformities using artificial intelligence systems based on CBCT are very likely to become an area of increased interest in the future. The review is aimed at giving practicing dentists and interested colleagues in the field of healthcare a comprehensive understanding of the current trend in the development of artificial intelligence in the field of 3D visualization in dental medicine.
人工智能在牙科研究和实践中的三维可视化的现代应用和能力
学习的目的。研究现有关于CBCT在颌面成像中的应用的专业文献,并将该研究方法与人工智能相结合,以提高复杂口腔疾病的诊断和治疗。方法。使用Pub Med、library、Cochrane、Google Scholar等科学检索图书馆数据库对特殊文献数据进行研究。结果。锥形束ct (cone-beam computed tomography, CBCT)在对需要修复体的患者进行检查时,与其他对患者进行附加检查的放射学方法相比,可以获得大量关于牙齿硬组织、颌骨骨组织、颞下颌关节及附近解剖结构状况的诊断信息。与“诊断”人工智能系统的代表一起评估了这种研究的可能性,并对其优势进行了分析。它还描述了一种基于数字(虚拟)建模的患者骨科治疗计划的综合方案及其对执业骨科牙医的优势。结论。CBCT方法以其准确性、可及性和高客观性在现代牙科实践中得到广泛应用。人工智能技术被引入到复杂的牙科治疗计划过程中,逐渐成为从业者的工具。使用基于CBCT的人工智能系统自动识别牙齿和诊断面部畸形很可能成为未来人们越来越感兴趣的领域。这篇综述的目的是让执业牙医和对医疗保健领域感兴趣的同事全面了解人工智能在牙科医学3D可视化领域的发展趋势。
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