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

Classification of Bones01:18

Classification of Bones

10.5K
The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
10.5K

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

Applying Automated Artificial Intelligence Models on Lateral Cephalometric Parameters to Accurately Classify Arab Orthodontic Patient Patterns.

Clinical and experimental dental research·2026
Same author

Machine Learning and Clustering Analysis of Class II and III Malocclusions.

Clinical and experimental dental research·2026
Same author

Mapping Genetic Modifiers of Polyp Formation in <i>Smad4</i>-Deficient Juvenile Polyposis Using the Collaborative Cross Mouse Population.

Cells·2026
Same author

Regenerative periodontal surgery and orthodontic therapy in the treatment of patients with stage IV periodontitis and pathologic tooth migration.

Periodontology 2000·2026
Same author

Investigating a potential association between agenesis of the third molars and variations in dental crown dimensions.

PloS one·2026
Same author

Exploring the association between skeletal malocclusions and dental maturity in German children and adolescents : A retrospective cross-sectional study.

Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie·2026
Same journal

Evidence-Based Clinical Recommendations for the Appropriate Use of Diagnostic Tests in Pediatric Allergology: Focus on Asthma, Rhinoconjunctivitis, and Keratoconjunctivitis Vernal.

Journal of clinical medicine·2026
Same journal

Surgical and Transcatheter Approach of a Failed Mitral Valve Repair: A Comprehensive Review on Selecting the Most Suitable Approach.

Journal of clinical medicine·2026
Same journal

Hybrid Metaheuristic Feature Selection for Breast Cancer Detection in Digital Mammography: A Feasibility Study with Nested Validation, Benchmarking, and External Stress Testing.

Journal of clinical medicine·2026
Same journal

Identity Transformation and the Role of Accountability in Recovery from Problematic Pornography Use: A Phenomenological-Hermeneutical Study.

Journal of clinical medicine·2026
Same journal

Does Early Surgical Treatment in Degenerative Cervical Myelopathy Have a Favorable Clinical Outcome and Impact on Quality of Life?

Journal of clinical medicine·2026
Same journal

Shear Wave Elastography in Musculoskeletal Imaging: A Narrative Review.

Journal of clinical medicine·2026
查看所有相关文章

相关实验视频

Updated: Feb 28, 2026

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

3.8K

机器学习的开口咬伤分类:一个脑测量分析.

Salih Abu Shahin1, Loai Abdallah2, Kareem Midlej1

  • 1Department of Clinical Microbiology and Immunology, Gray Faculty of Medicine and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.

Journal of clinical medicine
|February 27, 2026
PubMed
概括
此摘要是机器生成的。

机器学习准确地使用头部计数据对前部开口咬伤 (AOB) 进行分类,达到96.2%的准确率. 聚类揭示了不同的面表现型,有助于诊断和个性化的正牙治疗规划.

关键词:
前部开口咬伤 前部开口咬伤头脑测量参数的头脑测量参数决策树分类器的分类器机器学习是机器学习.缺陷性缺陷是指一个缺陷性缺陷.骨的样式 骨的样式垂直的头骨面部 垂直的面部

更多相关视频

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
05:56

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

3.3K
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

1.6K

相关实验视频

Last Updated: Feb 28, 2026

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

3.8K
Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
05:56

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

3.3K
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

1.6K

科学领域:

  • 矯正牙科 矯正牙科是一種矯正牙科.
  • 机器学习 机器学习
  • 面生物学 面生物学

背景情况:

  • 前部开口咬伤 (AOB) 由于复杂的垂直面生长和骨模式,提出了诊断挑战.
  • 传统的脑力测量分析本身就不足以客观地诊断AOB.
  • 机器学习 (ML) 提供了先进的工具,用于 ортодонтика的表型特征和诊断准确性.

研究的目的:

  • 开发和评估基于ML的决策树分类器,以区分AOB与健康对照,使用头脑测量参数.
  • 通过无监督聚类,探索阿拉伯人口中潜在的面表现型.
  • 评估ML的潜力,作为一个决策支持工具在正牙诊断和治疗规划.

主要方法:

  • 来自以色列阿拉伯人口的1056名正牙患者 (621名AOB,435名对照) 的横向头计记录的回顾性分析.
  • 对五个垂直骨头度参数的评估:ML-NSL,NL-NSL,PFH/AFH,角和面部轴.
  • 开发决策树分类器和应用聚合层次分类集群来进行表型探索.

主要成果:

  • 决策树分类器实现了96.2%的测试准确度,具有高精度,回忆和F1得分 (~0.97).
  • 下平面角 (ML-NSL) 是对分类最有影响力的特征.
  • 集群确定了十个不同的面集群,包括纯粹和混合的表型,揭示了不同的垂直骨失衡.

结论:

  • 应用于脑表数据的ML提供了正确的分类和前部开口咬伤缺陷的表型分层.
  • 聚类分析揭示了临床相关的子组,反映了多样化的垂直骨模式.
  • 可解释的ML模型显示出作为个性化正义牙科诊断和治疗规划的决策支持工具的希望.