Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Using Citric-Acid-Based Anodization to Form Magnesium-Doped Carbonated Apatite-Containing Oxides on Solid and 3D-Printed Titanium Substrates.

Journal of functional biomaterials·2026
Same author

Deep learning-based segmentation of caries, implants, fixed prosthesis, and restorations on bitewing radiographs: A retrospective study.

Science progress·2026
Same author

Organic Acid-Based Anodization Process to Produce Bioactive Oxides on Titanium Implants.

Materials (Basel, Switzerland)·2025
Same author

Is high-power laser irradiation a time efficient method to debond zirconia restorations?

Dental materials : official publication of the Academy of Dental Materials·2025
Same author

Biomechanical assessment of zygomatic implants in clinical rehabilitation scenarios: A finite element and fatigue analysis.

Dental materials : official publication of the Academy of Dental Materials·2025
Same author

Citrus-Fruit-Based Hydroxyapatite Anodization Coatings on Titanium Implants.

Materials (Basel, Switzerland)·2025

相关实验视频

Updated: Jun 10, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

780

牙科全景放射图中的自动特征细分

Rohan Jagtap1, Yalamanchili Samata2, Amisha Parekh3

  • 1Division of Oral & Maxillofacial Radiology, Department of Care Planning & Restorative Sciences, University of Mississippi Medical Center School of Dentistry, Jackson, MS, USA.

Science progress
|October 17, 2024
PubMed
概括

一个人工智能 (AI) 系统在全景射线图上检测牙损伤和植入物等牙科问题方面表现出强大的诊断性能,与人类放射科医生相似. 这种人工智能工具有望提高牙科诊断的准确性和效率.

关键词:
人工智能的人工智能是人工智能.皮肤腐烂,皮肤腐烂.牙科修复 牙科修复 牙科修复牙科 牙科 牙科 牙科诊断 诊断 诊断 诊断 诊断 诊断固定假肢 固定假肢是一种固定假肢.植入物植入物植入物植入物全景X射线图的使用.牙编号是指牙的编号.

更多相关视频

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.7K
Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities
07:14

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities

Published on: May 24, 2022

4.4K

相关实验视频

Last Updated: Jun 10, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

780
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.7K
Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities
07:14

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities

Published on: May 24, 2022

4.4K

科学领域:

  • 牙科 牙科是指牙科的专业.
  • 人工智能的人工智能
  • 放射学 放射学是一门学科.

背景情况:

  • 全景射线图对于牙科诊断和治疗规划至关重要.
  • 像文物和叠加等图像质量问题可能导致误解.
  • 需要自动检测系统来克服这些诊断挑战.

研究的目的:

  • 评估人工智能系统的诊断准确度,以识别全景X射线图上的牙,,植入物,修复和固定假肢.
  • 将人工智能系统的性能与人类专家的注释进行比较.

主要方法:

  • 一项横截面研究分析了来自500名成年患者的1000张全景射线图.
  • 一个人工智能系统自动检测牙的特征.
  • 人工智能发现与两个口腔和面放射科医生的注释进行了比较.

主要成果:

  • 人工智能系统与放射科医生的评估显示出强烈的相关性 (R > 0.5).
  • 检测植入物 (0.770-0.952),恢复牙 (0.773-0.834) 和固定假肢 (0.972-0.980) 的高精度被观察到.
  • 人工智能还在识别牙 (0.691-0.878) 和缺失牙 (0.956-0.988) 上表现良好.

结论:

  • 人工智能系统的自动检测性能与口腔放射科医生的性能相当.
  • 人工智能可以协助在全景射线图上执行自动识别任务.
  • 人工智能系统有可能提高牙科诊断的准确性和效率.