[Artificial Intelligence in Dentistry: A Sign of the Times].

Q4 Medicine
K Sh Oisieva, R A Rozov
{"title":"[Artificial Intelligence in Dentistry: A Sign of the Times].","authors":"K Sh Oisieva, R A Rozov","doi":"10.17116/stomat202510401187","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial Intelligence (AI) has emerged as one of the most significant innovations in dentistry, enabling the efficient analysis of large volumes of data and enhancing the quality of diagnosis and treatment.</p><p><strong>The aim of this study: </strong>Is to conduct a systematic review of the existing literature related to the application of AI in dental imaging. T.</p><p><strong>Materials and methods: </strong>The study included works where AI was used for the analysis of dental images, with a focus on deep learning methods and convolutional neural networks. The search was conducted in six leading databases, including PubMed, IEEE Xplore and others.</p><p><strong>Results: </strong>AI significantly improves the accuracy of diagnosing dental conditions, such as caries and periodontitis, and promotes a more personalized approach to patient treatment. However, existing studies are often limited by small data sets, highlighting the need for further research.</p><p><strong>Conclusion: </strong>AI has the potential to greatly enhance dental practice, but its full integration into clinical practice requires additional studies. The legal regulation of AI use is also an important aspect to consider.</p>","PeriodicalId":35887,"journal":{"name":"Stomatologiya","volume":"104 1","pages":"87-92"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stomatologiya","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17116/stomat202510401187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Artificial Intelligence (AI) has emerged as one of the most significant innovations in dentistry, enabling the efficient analysis of large volumes of data and enhancing the quality of diagnosis and treatment.

The aim of this study: Is to conduct a systematic review of the existing literature related to the application of AI in dental imaging. T.

Materials and methods: The study included works where AI was used for the analysis of dental images, with a focus on deep learning methods and convolutional neural networks. The search was conducted in six leading databases, including PubMed, IEEE Xplore and others.

Results: AI significantly improves the accuracy of diagnosing dental conditions, such as caries and periodontitis, and promotes a more personalized approach to patient treatment. However, existing studies are often limited by small data sets, highlighting the need for further research.

Conclusion: AI has the potential to greatly enhance dental practice, but its full integration into clinical practice requires additional studies. The legal regulation of AI use is also an important aspect to consider.

[人工智能在牙科:时代的标志]。
人工智能(AI)已成为牙科领域最重要的创新之一,能够对大量数据进行有效分析,并提高诊断和治疗质量。本研究的目的是对现有的人工智能在牙科成像中的应用相关文献进行系统的综述。材料和方法:该研究包括将人工智能用于牙齿图像分析的工作,重点是深度学习方法和卷积神经网络。这项研究是在六个主要的数据库中进行的,包括PubMed、IEEE explore等。结果:人工智能显著提高了龋齿和牙周炎等牙病诊断的准确性,并促进了更个性化的患者治疗方法。然而,现有的研究往往受到小数据集的限制,这突出了进一步研究的必要性。结论:人工智能有潜力极大地提高牙科实践,但其完全融入临床实践需要进一步的研究。对人工智能使用的法律规制也是需要考虑的一个重要方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Stomatologiya
Stomatologiya Medicine-Medicine (all)
CiteScore
0.40
自引率
0.00%
发文量
93
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信