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Does orthodontic treatment improve the Oral Health-Related Quality of Life when assessed using the Malocclusion Impact Questionnaire-a 3-year prospective longitudinal cohort study.正畸治疗是否能改善错牙合畸形影响问卷评估的口腔健康相关生活质量?一项为期 3 年的前瞻性纵向队列研究。
Eur J Orthod. 2023 Nov 30;45(6):773-780. doi: 10.1093/ejo/cjad040.
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Few-shot learning for medical text: A review of advances, trends, and opportunities.医学文本的少样本学习:进展、趋势和机遇综述。
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Classification of Maxillofacial Morphology by Artificial Intelligence Using Cephalometric Analysis Measurements.利用头影测量分析数据通过人工智能进行颌面形态分类
Diagnostics (Basel). 2023 Jun 21;13(13):2134. doi: 10.3390/diagnostics13132134.
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Is automatic cephalometric software using artificial intelligence better than orthodontist experts in landmark identification?基于人工智能的自动头影测量软件在标志点识别方面优于正畸专家吗?
BMC Oral Health. 2023 Jul 8;23(1):467. doi: 10.1186/s12903-023-03188-4.
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Automatic three-dimensional nasal and pharyngeal airway subregions identification via Vision Transformer.基于 Vision Transformer 的自动三维鼻咽喉气道亚区识别。
J Dent. 2023 Sep;136:104595. doi: 10.1016/j.jdent.2023.104595. Epub 2023 Jun 19.
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In-vivo evaluation of Artificial Intelligence Driven Remote Monitoring technology for tracking tooth movement and reconstruction of 3-dimensional digital models during orthodontic treatment.体内评估人工智能驱动的远程监测技术,用于跟踪牙齿移动和在正畸治疗期间重建三维数字模型。
Am J Orthod Dentofacial Orthop. 2023 Nov;164(5):690-699. doi: 10.1016/j.ajodo.2023.04.019. Epub 2023 Jun 21.
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Effectiveness of dental monitoring system in orthodontics: A systematic review.牙科监测系统在正畸治疗中的有效性:一项系统评价。
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Am J Orthod Dentofacial Orthop. 2023 Aug;164(2):285-292. doi: 10.1016/j.ajodo.2023.04.012. Epub 2023 May 12.
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Blockchain technology and federated machine learning for collaborative initiatives in orthodontics and craniofacial health.区块链技术和联合机器学习在口腔正畸学和颅面健康中的协作计划。
Orthod Craniofac Res. 2023 Dec;26 Suppl 1:118-123. doi: 10.1111/ocr.12662. Epub 2023 Apr 10.

人工智能在正畸学中的应用:现状与未来展望。

Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives.

作者信息

Liu Junqi, Zhang Chengfei, Shan Zhiyi

机构信息

Division of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China.

Division of Restorative Dental Sciences, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China.

出版信息

Healthcare (Basel). 2023 Oct 18;11(20):2760. doi: 10.3390/healthcare11202760.

DOI:10.3390/healthcare11202760
PMID:37893833
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10606213/
Abstract

In recent years, there has been the notable emergency of artificial intelligence (AI) as a transformative force in multiple domains, including orthodontics. This review aims to provide a comprehensive overview of the present state of AI applications in orthodontics, which can be categorized into the following domains: (1) diagnosis, including cephalometric analysis, dental analysis, facial analysis, skeletal-maturation-stage determination and upper-airway obstruction assessment; (2) treatment planning, including decision making for extractions and orthognathic surgery, and treatment outcome prediction; and (3) clinical practice, including practice guidance, remote care, and clinical documentation. We have witnessed a broadening of the application of AI in orthodontics, accompanied by advancements in its performance. Additionally, this review outlines the existing limitations within the field and offers future perspectives.

摘要

近年来,人工智能(AI)作为一股变革力量在包括正畸学在内的多个领域显著兴起。本综述旨在全面概述人工智能在正畸学中的应用现状,其可分为以下领域:(1)诊断,包括头影测量分析、牙齿分析、面部分析、骨骼成熟阶段判定及上气道阻塞评估;(2)治疗计划,包括拔牙及正颌手术的决策制定以及治疗结果预测;(3)临床实践,包括实践指导、远程护理及临床记录。我们见证了人工智能在正畸学中的应用范围不断扩大,同时其性能也在不断提升。此外,本综述概述了该领域目前存在的局限性并提供了未来展望。