Department of Prosthetic Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Dental Clinics, King Saud Medical City Riyadh, Riyadh, Saudi Arabia.
Med Sci Monit. 2024 Jun 6;30:e944310. doi: 10.12659/MSM.944310.
Prosthodontics is a dental subspecialty that includes the preparation of dental prosthetics for missing or damaged teeth. It increasingly uses computer-assisted technologies for planning and preparing dental prosthetics. This study aims to present the findings from a systematic review of publications on artificial intelligence (AI) in prosthodontics to identify current trends and future opportunities. The review question was "What are the applications of AI in prosthodontics and how good is their performance in prosthodontics?" Electronic searching in the Web of Science, ScienceDirect, PubMed, and Cochrane Library was conducted. The search was limited to full text from January 2012 to January 2024. Quadas-2 was used for assessing quality and potential risk of bias for the selected studies. A total of 1925 studies were identified in the initial search. After removing the duplicates and applying exclusion criteria, a total of 30 studies were selected for this review. Results of the Quadas-2 assessment of included studies found that a total of 18.3% of studies were identified as low risk of bias studies, whereas 52.6% and 28.9% of included studies were identified as studies with high and unclear risk of bias, respectively. Although they are still developing, AI models have already shown promise in the areas of dental charting, tooth shade selection, automated restoration design, mapping the preparation finishing line, manufacturing casting optimization, predicting facial changes in patients wearing removable prostheses, and designing removable partial dentures.
修复牙科是牙科的一个分支,包括为缺失或受损的牙齿制作牙科修复体。它越来越多地使用计算机辅助技术来规划和准备牙科修复体。本研究旨在介绍对修复牙科人工智能(AI)出版物的系统评价结果,以确定当前的趋势和未来的机会。该综述问题是“人工智能在修复牙科中的应用有哪些,它们在修复牙科中的性能如何?”在 Web of Science、ScienceDirect、PubMed 和 Cochrane Library 中进行了电子检索。搜索范围限于 2012 年 1 月至 2024 年 1 月的全文。使用 Quadas-2 评估选定研究的质量和潜在偏倚风险。在初步搜索中确定了 1925 项研究。在去除重复项并应用排除标准后,共有 30 项研究被纳入本综述。纳入研究的 Quadas-2 评估结果发现,共有 18.3%的研究被确定为低偏倚风险研究,而 52.6%和 28.9%的纳入研究分别被确定为高偏倚和不确定偏倚风险的研究。尽管它们仍在发展中,但人工智能模型已经在牙科图表绘制、牙齿颜色选择、自动修复设计、预备完成线映射、铸造优化制造、预测佩戴可摘义齿患者的面部变化以及设计可摘局部义齿等领域显示出了前景。