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人工智能在儿童牙科中的应用:文献综述

Application of Artificial Intelligence in Pediatric Dentistry: A Literature Review.

作者信息

Alessa Noura

机构信息

Department of Pediatric Dentistry and Orthodontics, Dental College, King Saud University, Riyadh, Saudi Arabia.

出版信息

J Pharm Bioallied Sci. 2024 Jul;16(Suppl 3):S1938-S1940. doi: 10.4103/jpbs.jpbs_74_24. Epub 2024 May 1.

DOI:10.4103/jpbs.jpbs_74_24
PMID:39346390
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11426788/
Abstract

Artificial intelligence (AI) is the development of computer systems that can do tasks that normally require human intelligence. A number of dental specialties, including pediatric dentistry, now use AI and its subsets, machine learning, and deep learning. The evolution of AI in healthcare has been linked to the creation of AI applications meant to support medical professionals in diagnosing patients and choosing the best course of treatment. AI is the capability of robots to learn and use that information to carry out a range of cognitive tasks, including language processing, learning, reasoning, and making decisions-basically imitating human behavior. This review gives an overview of the numerous applications of AI that are beneficial to pediatric dentistry.

摘要

人工智能(AI)是计算机系统的发展,这些系统能够执行通常需要人类智能才能完成的任务。包括儿童牙科在内的许多牙科专业现在都在使用人工智能及其子集,即机器学习和深度学习。医疗保健领域中人工智能的发展与旨在支持医疗专业人员诊断患者和选择最佳治疗方案的人工智能应用程序的创建有关。人工智能是机器人学习并利用这些信息来执行一系列认知任务的能力,这些任务包括语言处理、学习、推理和决策,基本上是在模仿人类行为。本综述概述了人工智能在儿童牙科中的众多有益应用。

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2
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Biomedicines. 2023 Mar 5;11(3):788. doi: 10.3390/biomedicines11030788.
3
Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis.人工智能在牙科领域的应用现状:系统评价与文献分析
Healthcare (Basel). 2022 Jul 8;10(7):1269. doi: 10.3390/healthcare10071269.
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Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries.不同机器学习算法在龋齿诊断中的应用。
J Healthc Eng. 2022 Mar 31;2022:5032435. doi: 10.1155/2022/5032435. eCollection 2022.
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Deep Learning Neural Modelling as a Precise Method in the Assessment of the Chronological Age of Children and Adolescents Using Tooth and Bone Parameters.深度学习神经网络模型在评估儿童和青少年的年龄时,利用牙齿和骨骼参数是一种精确的方法。
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