PDF(Pubmed)
Abstract：
BACKGROUND: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
摘要：
背景：近年来，人工智能(AI)在整个牙科领域取得了显著进步，并取得了重大成就。值得注意的是,在口腔修复中应用人工智能的努力正在不断进步。本范围审查旨在介绍AI在牙冠假体和相关主题中的应用和性能。
方法：我们对PubMed进行了文献检索，Scopus,WebofScience,谷歌学者，和IEEEXplore数据库从2010年1月到2024年1月。所包括的文章涉及AI在牙冠治疗各个方面的应用，包括制造，评估，和预后。
结果：最初的电子文献检索产生了393条记录，在消除重复参考文献后，减少到315。纳入标准的应用导致在定性审查中分析了12份合格出版物。本综述中包含的基于AI的应用与牙冠终点线的检测有关，基于人工智能的颜色匹配评估，评价冠的制备，人工智能设计的牙冠评估，在口腔内照片中识别牙冠，和脱粘概率的预测。
结论：人工智能有可能提高制造和评估牙冠等过程的效率，在大多数分析的研究中报告了很高的准确性。然而,大量的研究集中在使用基于人工智能的软件设计牙冠，这些研究的患者数量很少，并不总是提出他们的算法。需要报告和评估AI研究的标准化协议，以增加证据和有效性。
方法：我们对PubMed进行了文献检索，Scopus,WebofScience,谷歌学者，和IEEEXplore数据库从2010年1月到2024年1月。所包括的文章涉及AI在牙冠治疗各个方面的应用，包括制造，评估，和预后。
结果：最初的电子文献检索产生了393条记录，在消除重复参考文献后，减少到315。纳入标准的应用导致在定性审查中分析了12份合格出版物。本综述中包含的基于AI的应用与牙冠终点线的检测有关，基于人工智能的颜色匹配评估，评价冠的制备，人工智能设计的牙冠评估，在口腔内照片中识别牙冠，和脱粘概率的预测。
结论：人工智能有可能提高制造和评估牙冠等过程的效率，在大多数分析的研究中报告了很高的准确性。然而,大量的研究集中在使用基于人工智能的软件设计牙冠，这些研究的患者数量很少，并不总是提出他们的算法。需要报告和评估AI研究的标准化协议，以增加证据和有效性。
