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Applications of artificial intelligence in orthodontics: a bibliometric and visual analysis.
Clin Oral Investig
January 2025
Department of General Surgery and Surgical-Medical Specialties, Section of Orthodontics, University of Catania, Via S. Sofia 68, Catania, 95124, Italy.
Objectives: To conduct a comprehensive bibliometric analysis of the literature on artificial intelligence (AI) applications in orthodontics to provide a detailed overview of the current research trends, influential works, and future directions.
Materials And Methods: A research strategy in The Web of Science Core Collection has been conducted to identify original articles regarding the use of AI in orthodontics. Articles were screened and selected by two independent reviewers and the following data were imported and processed for analysis: rankings, centrality metrics, publication trends, co-occurrence and clustering of keywords, journals, articles, authors, nations, and organizations.
Treatment of skeletal class III malocclusion with the Alt-RAMEC protocol and intermaxillary elastics : A retrospective cohort study.
J Orofac Orthop
December 2024
Department of Orthodontics, Faculty of Dentistry, Gazi University, Bişkek Cd. (8.Cd.) 1.Sk. No:8 06490 Emek, Ankara, Turkey.
Purpose: This study aimed to evaluate the effects of the use of class III elastics with fixed appliances and the Alt-RAMEC procedure on dentofacial structures in patients diagnosed with skeletal class III malocclusion.
Methods: The retrospective cohort study was performed on lateral cephalometric radiographs of 20 individuals (7 girls, 13 boys; mean chronological age 12.41 years) with skeletal class III malocclusion because of maxillary deficiency or maxillary deficiency and mandibular excess which were treated by using the Alt-RAMEC protocol and class III elastics.
Digital Cephalometric Analysis: Unveiling the Role and Reliability of Semi-automated OneCeph, Artificial Intelligence-Powered WebCeph Mobile App, and Semi-automated Computer-Aided NemoCeph Software in Orthodontic Practice.
Cureus
November 2024
Prosthodontics, Adesh Institute of Dental Sciences and Research, Bathinda, IND.
Background Cephalometric analysis is essential in orthodontic diagnosis and treatment planning. With the emergence of digital tools for cephalometric analysis such as OneCeph, WebCeph, and NemoCeph, there is growing interest in their reliability compared to traditional manual tracings. This study aimed to compare the reliability of these digital tools with manual tracings in doing cephalometric analysis.
View Article and Find Full Text PDFUse of CBCT in Orthodontics: A Scoping Review.
J Clin Med
November 2024
Department of General Surgery and Surgical-Medical Specialties, School of Dentistry, University of Catania, 95124 Catania, Italy.
: The present scoping review aims to provide a panoramic view of the current state of knowledge, highlighting the strengths, limitations, and future directions, on the use of CBCT in orthodontic practice. : This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines to identify eligible studies from the following databases: PubMed, Scopus, and Web of Science. The research question was formulated as follows: "What is the scientific evidence concerning the preferential use of 3D CBCT over 2D radiography in orthodontics"? : Through database searching, 521 records were identified, and ultimately, 37 studies that compared 3D CBCT with 2D conventional radiography were included.
View Article and Find Full Text PDFMulti-Scale 3D Cephalometric Landmark Detection Based on Direct Regression with 3D CNN Architectures.
Diagnostics (Basel)
November 2024
Medical Device Development Center, Daegu-Gyeongbuk Medical Innovation Foundation (K-MEDI Hub), Daegu 41061, Republic of Korea.
Background: Cephalometric analysis is important in diagnosing and planning treatments for patients, traditionally relying on 2D cephalometric radiographs. With advancements in 3D imaging, automated landmark detection using deep learning has gained prominence. However, 3D imaging introduces challenges due to increased network complexity and computational demands.
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