Artificial Intelligence in Periodontology: A Scoping Review.

Artificial Intelligence in Periodontology: A Scoping Review.
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DOI:
10.3390/dj11020043
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发表时间:
2023-02-08
期刊:
影响因子:
2.6
通讯作者:
Andrew, David
Andrew, David
中科院分区:
其他
文献类型:
--
作者:
Scott, James;Biancardi, Alberto M.;Jones, Oliver;Andrew, David

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人工智能(AI)是计算机系统的发展,机器可以模仿人类的行为。这越来越多地被用作帮助临床医生诊断和治疗疾病的辅助工具。牙周炎是世界范围内最常见的疾病之一,导致牙齿支持组织的破坏和丧失。本研究旨在评估目前描述AI对该疾病诊断和流行病学影响的文献。于2022年4月进行了广泛的检索,包括将AI用作牙周炎患者评估,诊断或治疗的自变量的研究。删除重复内容后,共识别出401篇文章进行摘要筛选。总共排除了293个文本,留下108个进行全文评估,50个纳入最终综合。纳入了广泛选择的文章,大多数使用视觉成像作为输入数据字段,使用图像的平均数量为1666(中位数499)。在过去十年中,在这一领域发表的研究报告数量显著增加。然而,由于可用于分析的统计检验的多样性,报告结果仍然是异质性的。应努力改进方法和报告,以确保能够进行有意义的比较。
Artificial intelligence (AI) is the development of computer systems whereby machines can mimic human actions. This is increasingly used as an assistive tool to help clinicians diagnose and treat diseases. Periodontitis is one of the most common diseases worldwide, causing the destruction and loss of the supporting tissues of the teeth. This study aims to assess current literature describing the effect AI has on the diagnosis and epidemiology of this disease. Extensive searches were performed in April 2022, including studies where AI was employed as the independent variable in the assessment, diagnosis, or treatment of patients with periodontitis. A total of 401 articles were identified for abstract screening after duplicates were removed. In total, 293 texts were excluded, leaving 108 for full-text assessment with 50 included for final synthesis. A broad selection of articles was included, with the majority using visual imaging as the input data field, where the mean number of utilised images was 1666 (median 499). There has been a marked increase in the number of studies published in this field over the last decade. However, reporting outcomes remains heterogeneous because of the variety of statistical tests available for analysis. Efforts should be made to standardise methodologies and reporting in order to ensure that meaningful comparisons can be drawn.
通过牙科地标定位自动化牙周骨质损失测量。
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发表时间: 2021-07
影响因子: 3
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发表时间: 2019-01-01
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发表时间: 2020-11-15
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DOI: 10.1111/idj.12326
发表时间: 2018-02-01
影响因子: 3.3
作者:
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通讯作者: Levin, Liran
在结构和功能性肺图像分析中深入学习。
DOI: 10.1259/bjr.20201107
发表时间: 2022-04-01
期刊: The British journal of radiology
影响因子: --
作者:
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