Alessandro Polizzi, Mattia Boato, Sara Serra, Vincenzo D'Antò, Rosalia Leonardi
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引用次数: 0
Abstract
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. Data were analyzed using CiteSpace 6.3.R2 and VOSviewer.
Results: Almost 83% of the 381 chosen articles were released in the last three and a half years. Studies were published either in highly impacted orthodontic journals and also in journals related to informatics engineering, computer science, and medical imaging. Two-thirds of the available literature originated from China, the USA, and South Korea. AI-driven cephalometric landmarking and automatic segmentation were the main areas of research.
Conclusions: This report offers a thorough overview of the AI current trend in orthodontics and it highlights prominent research areas focused on increasing the speed and efficiency of orthodontic care. Furthermore, it offers insight into potential directions for future research.
Clinical relevance: Collaborative research efforts will be necessary to strengthen the maturity and robustness of AI models and to make AI-based clinical research sufficiently reliable for routine orthodontic clinical practice.
目的：对人工智能（artificial intelligence， AI）在口腔正畸中的应用文献进行综合文献计量分析，详细概述人工智能在口腔正畸中的研究现状、影响作品及未来发展方向。材料和方法：在The Web of Science核心合集中进行了一项研究策略，以识别关于在正畸中使用AI的原创文章。文章由两位独立审稿人筛选，并导入以下数据进行分析：排名、中心性指标、出版趋势、关键词、期刊、文章、作者、国家和组织的共现和聚类。使用CiteSpace 6.3对数据进行分析。R2和VOSviewer。结果：381篇入选文章中，近83%发表于最近三年半。研究要么发表在高影响正畸期刊上，要么发表在与信息工程、计算机科学和医学成像相关的期刊上。现有文献的三分之二来自中国、美国和韩国。人工智能驱动的头颅测量标记和自动分割是主要的研究领域。结论：本报告全面概述了人工智能在正畸治疗中的发展趋势，并重点介绍了提高正畸治疗速度和效率的重点研究领域。此外，它还为未来的研究提供了潜在的方向。临床相关性：需要开展合作研究，以增强人工智能模型的成熟度和鲁棒性，并使基于人工智能的临床研究在常规正畸临床实践中足够可靠。
期刊介绍：
The journal Clinical Oral Investigations is a multidisciplinary, international forum for publication of research from all fields of oral medicine. The journal publishes original scientific articles and invited reviews which provide up-to-date results of basic and clinical studies in oral and maxillofacial science and medicine. The aim is to clarify the relevance of new results to modern practice, for an international readership. Coverage includes maxillofacial and oral surgery, prosthetics and restorative dentistry, operative dentistry, endodontics, periodontology, orthodontics, dental materials science, clinical trials, epidemiology, pedodontics, oral implant, preventive dentistiry, oral pathology, oral basic sciences and more.
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