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

Fractures: Bone Repair01:27

Fractures: Bone Repair

3.0K
Treatment for a fracture is based on the type of break, the bone affected, and the patient's age.
Minor fractures with no bone displacement are treated by immobilizing the fractured bone using a cast or splint. However, in the case of fractures with displaced bones, the broken bones are repositioned before immobilization to ensure successful healing without deformation and loss of function. The realignment of fractured bone ends is performed through a process called reduction. If the...
3.0K

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

Prognostic value of sarcopenia markers in geriatric patients presenting to the emergency department: a prospective study.

BMC emergency medicine·2026
Same author

A myth: orthopedic implant pain in cold weather.

Disability and rehabilitation·2026
Same author

Assessment of the Relationship Between the Risk for Orbital Blowout Fracture After Trauma and Ethmoidal Sinus Morphometry Using the 3D Slicer Application.

Medicina (Kaunas, Lithuania)·2026
Same author

Pediatric injuries after 2023 Kahramanmaraş earthquake: an epidemiologic study.

European journal of trauma and emergency surgery : official publication of the European Trauma Society·2026
Same author

Evaluation of Risk Factors for Revision Surgery After Proximal Femoral Nailing for Intertrochanteric Fractures.

Medicina (Kaunas, Lithuania)·2025
Same author

Awareness and attitudes of orthopedic surgeons and pediatricians about chronic non-bacterial osteomyelitis: a cross-sectional study.

Postgraduate medicine·2025

相关实验视频

Updated: Jun 14, 2025

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation
09:34

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

Published on: September 14, 2017

7.4K

使用人工智能检测儿科尾骨折.

Nezih Kavak1, Rasime Pelin Kavak2, Bülent Güngörer1

  • 1Etlik City Hospital, Department of Emergency - Ankara, Turkey.

Revista da Associacao Medica Brasileira (1992)
|September 4, 2024
PubMed
概括

一个深度学习的人工智能模型准确地检测儿科尾骨折. 人工智能辅助显著提高了急诊医生在创伤病例中的骨折检测灵敏度和准确性.

更多相关视频

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

422
Fracture Apparatus Design and Protocol Optimization for Closed-stabilized Fractures in Rodents
06:59

Fracture Apparatus Design and Protocol Optimization for Closed-stabilized Fractures in Rodents

Published on: August 14, 2018

13.3K

相关实验视频

Last Updated: Jun 14, 2025

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation
09:34

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

Published on: September 14, 2017

7.4K
Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

422
Fracture Apparatus Design and Protocol Optimization for Closed-stabilized Fractures in Rodents
06:59

Fracture Apparatus Design and Protocol Optimization for Closed-stabilized Fractures in Rodents

Published on: August 14, 2018

13.3K

科学领域:

  • 放射学 放射学是一门学科.
  • 人工智能的人工智能
  • 儿科急救医学 儿科急救医学

背景情况:

  • 急性尾骨折是儿科创伤患者常见的损伤.
  • 准确和及时的诊断对于有效的治疗和患者的结果至关重要.
  • 传统的诊断方法可能具有挑战性,特别是在紧急情况下.

研究的目的:

  • 评估深度学习 (AI) 模型的诊断准确性,以检测儿科创伤患者的尾骨折.
  • 评估人工智能辅助支持对紧急医生的骨折检测性能的影响.

主要方法:

  • 使用了5150张儿科放射图的数据集,其中850张显示骨折.
  • 人工智能模型对88%的数据进行了训练,对8%的数据进行了验证,并对4%的数据进行了测试.
  • 紧急医生审查了2000个额外的X光照,有和没有人工智能协助.

主要成果:

  • 人工智能模型实现了89%的平均平均精度50,92%的特异性,90%的灵敏性和90%的F1得分.
  • 人工智能协助医生的灵敏度从93.7%提高到97.0%,骨折检测准确度从88%提高到94.9%.
  • 人工智能模型表现出高精度,训练有素的模型实现了93%和95%的检测率.

结论:

  • 基于深度学习的AI在检测儿科尾骨折方面非常有效.
  • 人工智能辅助工具提高了急诊医生在创伤环境中的诊断能力.
  • 人工智能集成有望提高儿科骨折诊断的准确性和效率.