Suppr超能文献

人工神经网络在牙科领域的历史与应用

History and application of artificial neural networks in dentistry.

作者信息

Park Wook Joo, Park Jun-Beom

机构信息

Department of Philosophy of Religion, College of Theology, The United Graduate School of Theology in Yonsei University, Seoul, Republic of Korea.

Department of Periodontics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

出版信息

Eur J Dent. 2018 Oct-Dec;12(4):594-601. doi: 10.4103/ejd.ejd_325_18.

Abstract

Artificial intelligence (AI) is a commonly used term in daily life, and there are now two subconcepts that divide the entire range of meanings currently encompassed by the term. The coexistence of the concepts of strong and weak AI can be seen as a result of the recognition of the limits of mathematical and engineering concepts that have dominated the definition. This presentation reviewed the concept, history, and the current application of AI in daily life. Applications of AI are becoming a reality that is commonplace in all areas of modern human life. Efforts to develop robots controlled by AI have been continuously carried out to maximize human convenience. AI has also been applied in the medical decision-making process, and these AI systems can help nonspecialists to obtain expert-level information. Artificial neural networks are highly interconnected networks of computer processors inspired by biological nervous systems. These systems may help connect dental professionals all over the world. Currently, the use of AI is rapidly advancing beyond text-based, image-based dental practice. This presentation reviewed the history of artificial neural networks in the medical and dental fields, as well as current application in dentistry. As the use of AI in the entire medical field increases, the role of AI in dentistry will be greatly expanded. Currently, the use of AI is rapidly advancing beyond text-based, image-based dental practice. In addition to diagnosis of visually confirmed dental caries and impacted teeth, studies applying machine learning based on artificial neural networks to dental treatment through analysis of dental magnetic resonance imaging, computed tomography, and cephalometric radiography are actively underway, and some visible results are emerging at a rapid pace for commercialization.

摘要

人工智能(AI)是日常生活中常用的术语,目前有两个子概念划分了该术语当前涵盖的全部含义范围。强人工智能和弱人工智能概念的共存可被视为认识到主导定义的数学和工程概念存在局限性的结果。本报告回顾了人工智能的概念、历史及其在日常生活中的当前应用。人工智能的应用正在成为现代人类生活各个领域中司空见惯的现实。人们一直在不断努力开发由人工智能控制的机器人,以最大限度地方便人类。人工智能也已应用于医疗决策过程,这些人工智能系统可以帮助非专业人员获取专家级信息。人工神经网络是受生物神经系统启发的高度互联的计算机处理器网络。这些系统可能有助于连接世界各地的牙科专业人员。目前,人工智能的应用正在迅速超越基于文本和图像的牙科实践。本报告回顾了人工神经网络在医学和牙科领域的历史以及目前在牙科中的应用。随着人工智能在整个医疗领域的应用增加,人工智能在牙科中的作用将大大扩展。目前,人工智能的应用正在迅速超越基于文本和图像的牙科实践。除了对视觉上确诊的龋齿和阻生牙进行诊断外,基于人工神经网络的机器学习通过分析牙科磁共振成像、计算机断层扫描和头影测量X线摄影应用于牙科治疗的研究正在积极开展,并且一些明显的成果正迅速涌现以实现商业化。

相似文献

2
Dentronics: Towards robotics and artificial intelligence in dentistry.登腾:牙科领域的机器人技术与人工智能
Dent Mater. 2020 Jun;36(6):765-778. doi: 10.1016/j.dental.2020.03.021. Epub 2020 Apr 27.
4
Smart Smile: Revolutionizing Dentistry With Artificial Intelligence.智能微笑:用人工智能变革牙科。
Cureus. 2023 Jun 30;15(6):e41227. doi: 10.7759/cureus.41227. eCollection 2023 Jun.
5
Demystifying artificial intelligence and deep learning in dentistry.揭开牙科人工智能和深度学习的神秘面纱。
Braz Oral Res. 2021 Aug 13;35:e094. doi: 10.1590/1807-3107bor-2021.vol35.0094. eCollection 2021.
6
Application of Artificial Intelligence in Dentistry.人工智能在牙科中的应用。
J Dent Res. 2021 Mar;100(3):232-244. doi: 10.1177/0022034520969115. Epub 2020 Oct 29.
8
Contemporary Role and Applications of Artificial Intelligence in Dentistry.当代人工智能在牙科中的作用和应用。
F1000Res. 2023 Sep 20;12:1179. doi: 10.12688/f1000research.140204.1. eCollection 2023.
9
Application of Artificial Intelligence in Pediatric Dentistry: A Literature Review.人工智能在儿童牙科中的应用:文献综述
J Pharm Bioallied Sci. 2024 Jul;16(Suppl 3):S1938-S1940. doi: 10.4103/jpbs.jpbs_74_24. Epub 2024 May 1.
10
Promises and perils of artificial intelligence in dentistry.人工智能在牙科领域的承诺与风险。
Aust Dent J. 2021 Jun;66(2):124-135. doi: 10.1111/adj.12812. Epub 2021 Jan 17.

引用本文的文献

本文引用的文献

1
Artificial intelligence in healthcare: past, present and future.人工智能在医疗保健中的应用:过去、现在和未来。
Stroke Vasc Neurol. 2017 Jun 21;2(4):230-243. doi: 10.1136/svn-2017-000101. eCollection 2017 Dec.
2
Bayesian inference of phylogenetic networks from bi-allelic genetic markers.基于二等位基因遗传标记的系统发育网络的贝叶斯推断。
PLoS Comput Biol. 2018 Jan 10;14(1):e1005932. doi: 10.1371/journal.pcbi.1005932. eCollection 2018 Jan.
5
AI and cognitive science: the past and next 30 years.人工智能与认知科学:过去三十年与未来三十年
Top Cogn Sci. 2010 Jul;2(3):345-56. doi: 10.1111/j.1756-8765.2010.01083.x. Epub 2010 Mar 8.
8
Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI.心智的神经机制、亚里士多德、扎德与功能磁共振成像
IEEE Trans Neural Netw. 2010 May;21(5):718-33. doi: 10.1109/TNN.2010.2041250. Epub 2010 Mar 1.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验