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Robot technology in dentistry, part two of a systematic review: an overview of initiatives

机器人 时间轴 斯科普斯 机器人学 循证牙科学 梅德林 系统回顾 计算机科学 科学文献 牙科 医学 人工智能 政治学 数学 古生物学 法学 统计 生物
作者
Tom C.T. van Riet,Kevin T.H. Chin Jen Sem,Jean-Pierre T. F. Ho,René Spijker,Jens Kober,Jan de Lange
出处
期刊:Dental Materials [Elsevier]
卷期号:37 (8): 1227-1236 被引量:36
标识
DOI:10.1016/j.dental.2021.06.002
摘要

To provide dental practitioners and researchers with a comprehensive and transparent evidence-based overview of physical robot initiatives in all fields of dentistry. Articles published since 1985 concerning primary data on physical robot technology in dentistry were selected. Characteristics of the papers were extracted such as the respective field of dentistry, year of publication as well as a description of its usage. Bibliographic databases PubMed, Embase, and Scopus were searched. A hand search through reference lists of all included articles was performed. The search timeline was between January 1985 and October 2020. All types of scientific literature in all languages were included concerning fields of dentistry ranging from student training to implantology. Robot technology solely for the purpose of research and maxillofacial surgery were excluded. In total, 94 articles were included in this systematic review. This study provides a systematic overview of initiatives using robot technology in dentistry since its very beginning. While there were many interesting robot initiatives reported, the overall quality of the literature, in terms of clinical validation, is low. Scientific evidence regarding the benefits, results and cost-efficiency of commercially available robotic solutions in dentistry is lacking. The rise in availability of open source control systems, compliant robot systems and the design of dentistry-specific robot technology might facilitate the process of technological development in the near future. The authors are confident that robotics will provide useful solutions in the future but, strongly, encourage an evidence-based approach when adapting to new (robot) technology.
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