Technology Readiness Level of Robotic Technology and Artificial Intelligence in Dentistry: A Comprehensive Review

Surgeries Pub Date : 2024-04-18 DOI:10.3390/surgeries5020025
L. Nassani, Kanza Javed, Rafat Samih Amer, Ming Hong Jim Pun, Ahmed Z. Abdelkarim, G. Fernandes
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Abstract

This comprehensive review assessed the integration of robotics and artificial intelligence (AI) in dentistry, offering a transparent overview of developments across dental fields. Covering articles in prosthodontics, orthodontics, implantology, surgery, and radiology, the review included 39 articles on robotics and 16 on AI. Screening adhered to PRISMA guidelines, with searches conducted on Medline, Google Scholar, and IEEE. Incorporating the search strategy, the review used keywords related to dentistry, robotics, and AI. For robotics, 296 articles were screened, resulting in 39 qualifying for qualitative synthesis. A separate AI search on PubMed identified 142 studies within the last decade, with 16 studies selected for a detailed full-text analysis, offering a consolidated overview of the current state-of-the-art knowledge in the AI domain. Geographic distribution highlighted East Asia as a major research contributor. The findings indicate an increasing trend in dentistry robotics since 2000 and, particularly since 2016, in AI dentistry. The majority of the literature fell under the category of basic research. The technology readiness level did not cross “three” (proof of concept) in 41% of all articles. Therefore, the overall literature quality remains low, particularly regarding clinical validation.
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牙科机器人技术和人工智能的技术准备水平:全面回顾
这篇综合综述评估了机器人技术与人工智能(AI)在牙科领域的融合情况,对牙科各领域的发展进行了透明的概述。综述涵盖了口腔修复学、口腔正畸学、种植学、外科手术学和放射学方面的文章,其中包括39篇关于机器人技术的文章和16篇关于人工智能的文章。筛选遵循PRISMA指南,在Medline、Google Scholar和IEEE上进行检索。结合搜索策略,综述使用了与牙科、机器人技术和人工智能相关的关键词。就机器人技术而言,共筛选出 296 篇文章,其中 39 篇符合定性综合条件。在 PubMed 上单独进行的人工智能搜索发现了过去十年中的 142 项研究,其中有 16 项研究被选中进行详细的全文分析,提供了人工智能领域当前最先进知识的综合概览。地理分布显示,东亚是研究的主要贡献者。研究结果表明,自2000年以来,牙科机器人技术呈上升趋势,尤其是自2016年以来,人工智能牙科技术呈上升趋势。大部分文献属于基础研究范畴。在所有文章中,有 41% 的文章的技术准备程度未超过 "三"(概念验证)。因此,文献的整体质量仍然较低,尤其是在临床验证方面。
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