• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

相似文献

1
Closing Editorial: Advancements in Artificial Intelligence for Dentomaxillofacial Radiology-Current Trends and Future Directions.闭幕社论:口腔颌面放射学中人工智能的进展——当前趋势与未来方向
Diagnostics (Basel). 2025 May 13;15(10):1222. doi: 10.3390/diagnostics15101222.
2
Artificial intelligence in dentomaxillofacial radiology.牙颌面放射学中的人工智能
World J Radiol. 2022 Mar 28;14(3):55-59. doi: 10.4329/wjr.v14.i3.55.
3
The Radiology: Artificial Intelligence Trainee Editorial Board: Initial Experience and Future Directions.放射学:人工智能学员编辑委员会:初步经验与未来方向。
Acad Radiol. 2022 Dec;29(12):1899-1902. doi: 10.1016/j.acra.2022.04.010. Epub 2022 May 21.
4
Artificial Intelligence in Radiology: Current Technology and Future Directions.放射学中的人工智能:当前技术与未来方向。
Semin Musculoskelet Radiol. 2018 Nov;22(5):540-545. doi: 10.1055/s-0038-1673383. Epub 2018 Nov 6.
5
Advancements in Artificial Intelligence for Medical Computer-Aided Diagnosis.用于医学计算机辅助诊断的人工智能进展。
Diagnostics (Basel). 2024 Jun 15;14(12):1265. doi: 10.3390/diagnostics14121265.
6
Artificial intelligence in gastrointestinal and hepatic imaging: past, present and future scopes.人工智能在胃肠道和肝脏成像中的应用:过去、现在和未来的应用前景。
Clin Imaging. 2022 Jul;87:43-53. doi: 10.1016/j.clinimag.2022.04.007. Epub 2022 Apr 20.
7
Artificial Intelligence in Radiology: What Is Its True Role at Present, and Where Is the Evidence?人工智能在放射学中的作用:目前其真实角色是什么,证据在哪里?
Radiol Clin North Am. 2024 Nov;62(6):935-947. doi: 10.1016/j.rcl.2024.03.008. Epub 2024 Apr 24.
8
Use of Artificial Intelligence in Non-Oncologic Interventional Radiology: Current State and Future Directions.人工智能在非肿瘤介入放射学中的应用:现状与未来方向。
Dig Dis Interv. 2021;5(4):331-337. doi: 10.1055/s-0041-1726300. Epub 2021 Jul 17.
9
Medical Education and Artificial Intelligence: Web of Science-Based Bibliometric Analysis (2013-2022).医学教育与人工智能:基于 Web of Science 的文献计量分析(2013-2022)。
JMIR Med Educ. 2024 Oct 10;10:e51411. doi: 10.2196/51411.
10
Trends in dentomaxillofacial radiology.口腔颌面放射学的发展趋势。
World J Radiol. 2025 Jan 28;17(1):97255. doi: 10.4329/wjr.v17.i1.97255.

本文引用的文献

1
Advanced AI-driven detection of interproximal caries in bitewing radiographs using YOLOv8.使用YOLOv8对咬合翼片X线片中邻面龋进行先进的人工智能驱动检测。
Sci Rep. 2025 Feb 7;15(1):4641. doi: 10.1038/s41598-024-84737-x.
2
Texture Analysis in Volumetric Imaging for Dentomaxillofacial Radiology: Transforming Diagnostic Approaches and Future Directions.口腔颌面放射学容积成像中的纹理分析:转变诊断方法与未来方向
J Imaging. 2024 Oct 22;10(11):263. doi: 10.3390/jimaging10110263.
3
The Detection of Pulp Stones with Automatic Deep Learning in Panoramic Radiographies: An AI Pilot Study.全景X线片中基于自动深度学习的牙髓石检测:一项人工智能初步研究
Diagnostics (Basel). 2024 Apr 24;14(9):890. doi: 10.3390/diagnostics14090890.
4
A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis.多模态数据与人工智能技术在医学诊断中的协同作用综合综述
Bioengineering (Basel). 2024 Feb 25;11(3):219. doi: 10.3390/bioengineering11030219.
5
A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging.人工智能医学影像方法的可解释性和可理解性的范围综述。
Eur J Radiol. 2023 Dec;169:111159. doi: 10.1016/j.ejrad.2023.111159. Epub 2023 Oct 21.
6
The U-Net Approaches to Evaluation of Dental Bite-Wing Radiographs: An Artificial Intelligence Study.用于评估牙科咬合翼片X线片的U-Net方法:一项人工智能研究。
Diagnostics (Basel). 2023 Jan 26;13(3):453. doi: 10.3390/diagnostics13030453.
7
High-performance medicine: the convergence of human and artificial intelligence.高性能医学:人机智能融合。
Nat Med. 2019 Jan;25(1):44-56. doi: 10.1038/s41591-018-0300-7. Epub 2019 Jan 7.

闭幕社论:口腔颌面放射学中人工智能的进展——当前趋势与未来方向

Closing Editorial: Advancements in Artificial Intelligence for Dentomaxillofacial Radiology-Current Trends and Future Directions.

作者信息

Orhan Kaan, Costa Andre Luiz Ferreira, de Castro Lopes Sérgio Lúcio Pereira

机构信息

Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Ankara University, Ankara 06560, Turkey.

Department of Dental and Maxillofacial Radiodiagnostics, Medical University of Lublin, 20-059 Lublin, Poland.

出版信息

Diagnostics (Basel). 2025 May 13;15(10):1222. doi: 10.3390/diagnostics15101222.

DOI:10.3390/diagnostics15101222
PMID:40428215
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12110001/
Abstract

Artificial intelligence (AI) continues to redefine diagnostic approaches across medical disciplines, and its impact on dentomaxillofacial radiology has increased exponentially in recent years [...].

摘要

人工智能(AI)不断重新定义各医学学科的诊断方法,近年来其对口腔颌面放射学的影响呈指数级增长[……]