UZB University Center for Dental Medicine Basel, Department of Reconstructive Dentistry, University of Basel, 4058 Basel, Switzerland.
Sensors (Basel). 2021 Oct 5;21(19):6628. doi: 10.3390/s21196628.
(1) Background: The rapid pace of digital development in everyday life is also reflected in dentistry, including the emergence of the first systems based on artificial intelligence (AI). This systematic review focused on the recent scientific literature and provides an overview of the application of AI in the dental discipline of prosthodontics. (2) Method: According to a modified PICO-strategy, an electronic (MEDLINE, EMBASE, CENTRAL) and manual search up to 30 June 2021 was carried out for the literature published in the last five years reporting the use of AI in the field of prosthodontics. (3) Results: 560 titles were screened, of which 30 abstracts and 16 full texts were selected for further review. Seven studies met the inclusion criteria and were analyzed. Most of the identified studies reported the training and application of an AI system ( = 6) or explored the function of an intrinsic AI system in a CAD software ( = 1). (4) Conclusions: While the number of included studies reporting the use of AI was relatively low, the summary of the obtained findings by the included studies represents the latest AI developments in prosthodontics demonstrating its application for automated diagnostics, as a predictive measure, and as a classification or identification tool. In the future, AI technologies will likely be used for collecting, processing, and organizing patient-related datasets to provide patient-centered, individualized dental treatment.
(1) 背景：日常生活中数字化发展的步伐十分迅速，这一现象在牙科领域也有所体现，包括人工智能（AI）系统的首次出现。本系统综述重点关注了最近的科学文献，并概述了 AI 在口腔修复学领域的应用。(2) 方法：根据改良的 PICO 策略，对截至 2021 年 6 月 30 日在过去五年中发表的报告 AI 在口腔修复学领域应用的文献进行了电子（MEDLINE、EMBASE、CENTRAL）和手动搜索。(3) 结果：共筛选出 560 篇标题，其中 30 篇摘要和 16 篇全文被进一步审查。符合纳入标准的研究有 7 项，并对其进行了分析。大多数已确定的研究报告了 AI 系统的培训和应用（=6）或探索了 CAD 软件中固有 AI 系统的功能（=1）。(4) 结论：虽然报告 AI 使用情况的纳入研究数量相对较少，但纳入研究的综合结果代表了口腔修复学中最新的 AI 发展，展示了其在自动化诊断、预测措施以及分类或识别工具方面的应用。未来，AI 技术可能会用于收集、处理和组织与患者相关的数据集，以为患者提供以患者为中心的个性化牙科治疗。
