用半自动和全自动方法对下颌管进行 CBCT 分段:系统性综述

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Neil Abraham Barnes , S Sharath , Winniecia Dkhar , Yogesh Chhaparwal , Kaushik Nayak
{"title":"用半自动和全自动方法对下颌管进行 CBCT 分段:系统性综述","authors":"Neil Abraham Barnes ,&nbsp;S Sharath ,&nbsp;Winniecia Dkhar ,&nbsp;Yogesh Chhaparwal ,&nbsp;Kaushik Nayak","doi":"10.1016/j.cegh.2024.101760","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>The application of AI algorithms for the detection of the mandibular canal in Cone Beam Computed Tomography (CBCT) holds immense promise in dentistry.</p></div><div><h3>Aim</h3><p>This review aimed to identify the semi and fully automated algorithm to localize the mandibular canal. An extensive search was conducted and, out of which 12 articles are considered for review. The result revealed using various AI algorithms achieved better accuracy in localizing the mandibular canal with reporting sensitivity and specificity above 90 %. In conclusion, it is noted that the application of AI algorithms in dentistry can provide significant benefits like improving the accuracy of reporting.</p></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"29 ","pages":"Article 101760"},"PeriodicalIF":2.3000,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213398424002574/pdfft?md5=16a7fb66e23c0da9a2228af4d05a41d5&pid=1-s2.0-S2213398424002574-main.pdf","citationCount":"0","resultStr":"{\"title\":\"CBCT segmentation of the mandibular canal with both semi-automated and fully automated methods: A systematic review\",\"authors\":\"Neil Abraham Barnes ,&nbsp;S Sharath ,&nbsp;Winniecia Dkhar ,&nbsp;Yogesh Chhaparwal ,&nbsp;Kaushik Nayak\",\"doi\":\"10.1016/j.cegh.2024.101760\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>The application of AI algorithms for the detection of the mandibular canal in Cone Beam Computed Tomography (CBCT) holds immense promise in dentistry.</p></div><div><h3>Aim</h3><p>This review aimed to identify the semi and fully automated algorithm to localize the mandibular canal. An extensive search was conducted and, out of which 12 articles are considered for review. The result revealed using various AI algorithms achieved better accuracy in localizing the mandibular canal with reporting sensitivity and specificity above 90 %. In conclusion, it is noted that the application of AI algorithms in dentistry can provide significant benefits like improving the accuracy of reporting.</p></div>\",\"PeriodicalId\":46404,\"journal\":{\"name\":\"Clinical Epidemiology and Global Health\",\"volume\":\"29 \",\"pages\":\"Article 101760\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2213398424002574/pdfft?md5=16a7fb66e23c0da9a2228af4d05a41d5&pid=1-s2.0-S2213398424002574-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Epidemiology and Global Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213398424002574\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Epidemiology and Global Health","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213398424002574","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

摘要

背景在锥形束计算机断层扫描(CBCT)中应用人工智能算法检测下颌管在牙科领域有着广阔的前景。我们进行了广泛的搜索,并对其中的 12 篇文章进行了审议。结果显示,使用各种人工智能算法定位下颌管的准确性更高,灵敏度和特异性均超过 90%。总之,人工智能算法在牙科中的应用可以带来显著的益处,如提高报告的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CBCT segmentation of the mandibular canal with both semi-automated and fully automated methods: A systematic review

Background

The application of AI algorithms for the detection of the mandibular canal in Cone Beam Computed Tomography (CBCT) holds immense promise in dentistry.

Aim

This review aimed to identify the semi and fully automated algorithm to localize the mandibular canal. An extensive search was conducted and, out of which 12 articles are considered for review. The result revealed using various AI algorithms achieved better accuracy in localizing the mandibular canal with reporting sensitivity and specificity above 90 %. In conclusion, it is noted that the application of AI algorithms in dentistry can provide significant benefits like improving the accuracy of reporting.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Clinical Epidemiology and Global Health
Clinical Epidemiology and Global Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
4.60
自引率
7.70%
发文量
218
审稿时长
66 days
期刊介绍: Clinical Epidemiology and Global Health (CEGH) is a multidisciplinary journal and it is published four times (March, June, September, December) a year. The mandate of CEGH is to promote articles on clinical epidemiology with focus on developing countries in the context of global health. We also accept articles from other countries. It publishes original research work across all disciplines of medicine and allied sciences, related to clinical epidemiology and global health. The journal publishes Original articles, Review articles, Evidence Summaries, Letters to the Editor. All articles published in CEGH are peer-reviewed and published online for immediate access and citation.
×
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:481959085
Book学术官方微信