Department of Prosthodontics and Wonkwang Dental Research Institute, School of Dentistry, Wonkwang University, Iksan, Republic of Korea.
Department of Prosthodontics, School of Dentistry, Wonkwang University, Iksan, Republic of Korea.
BMC Oral Health. 2024 Aug 13;24(1):937. doi: 10.1186/s12903-024-04657-0.
In recent years, artificial intelligence (AI) has made remarkable advancements and achieved significant accomplishments across the entire field of dentistry. Notably, efforts to apply AI in prosthodontics are continually progressing. This scoping review aims to present the applications and performance of AI in dental crown prostheses and related topics.
We conducted a literature search of PubMed, Scopus, Web of Science, Google Scholar, and IEEE Xplore databases from January 2010 to January 2024. The included articles addressed the application of AI in various aspects of dental crown treatment, including fabrication, assessment, and prognosis.
The initial electronic literature search yielded 393 records, which were reduced to 315 after eliminating duplicate references. The application of inclusion criteria led to analysis of 12 eligible publications in the qualitative review. The AI-based applications included in this review were related to detection of dental crown finish line, evaluation of AI-based color matching, evaluation of crown preparation, evaluation of dental crown designed by AI, identification of a dental crown in an intraoral photo, and prediction of debonding probability.
AI has the potential to increase efficiency in processes such as fabricating and evaluating dental crowns, with a high level of accuracy reported in most of the analyzed studies. However, a significant number of studies focused on designing crowns using AI-based software, and these studies had a small number of patients and did not always present their algorithms. Standardized protocols for reporting and evaluating AI studies are needed to increase the evidence and effectiveness.
近年来,人工智能(AI)在整个牙科领域取得了显著的进展和成就。特别是,在口腔修复学中应用 AI 的努力正在不断推进。本范围综述旨在介绍 AI 在牙冠修复体及相关主题中的应用和性能。
我们检索了 PubMed、Scopus、Web of Science、Google Scholar 和 IEEE Xplore 数据库自 2010 年 1 月至 2024 年 1 月的文献。纳入的文章涉及 AI 在牙冠治疗各个方面的应用,包括制作、评估和预测。
最初的电子文献检索产生了 393 条记录,在排除重复参考后减少到 315 条。应用纳入标准后,在定性综述中分析了 12 篇符合条件的出版物。本综述中包含的 AI 应用包括检测牙冠完成线、评估基于 AI 的颜色匹配、评估牙冠制备、评估 AI 设计的牙冠、识别口腔内照片中的牙冠以及预测脱粘概率。
AI 有可能提高牙冠制作和评估等过程的效率,大多数分析研究报告的准确性都很高。然而,大量研究集中在使用基于 AI 的软件设计牙冠,这些研究的患者数量较少,且并非总是展示其算法。需要制定用于报告和评估 AI 研究的标准化协议,以提高证据和有效性。