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

Evidence of Spin-Interference Effects in Exclusive J/ψ→e^{+}e^{-} Photoproduction in Ultraperipheral Heavy-Ion Collisions.

Physical review letters·2026
Same author

First Observation of Deuteron-Λ Correlations at RHIC.

Physical review letters·2026
Same author

Observation of Charmonium Sequential Suppression in Heavy-Ion Collisions at the Relativistic Heavy Ion Collider.

Physical review letters·2026
Same author

Energy Independence of the Collins Asymmetry in p^{↑}p Collisions.

Physical review letters·2026
Same author

Precision Measurement of Net-Proton-Number Fluctuations in Au+Au Collisions at RHIC.

Physical review letters·2025
Same author

Measurement of Two-Point Energy Correlators within Jets in p+p Collisions at sqrt[s]=200  GeV.

Physical review letters·2025

相关实验视频

Updated: Jul 8, 2025

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing
07:22

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing

Published on: December 1, 2023

513

基于深度学习的面部分析,用于预测困难的视频鼻镜:一个可行性研究.

M Xia1, C Jin1, Y Zheng2

  • 1Department of Anaesthesiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Anaesthesia
|December 14, 2023
PubMed
概括

使用面部图像的人工智能可以预测困难的视频鼻镜. 这种人工智能模型比传统的气道管理方法更准确.

关键词:
深度学习是一种深度学习.难以通风的呼吸道难以进行的喉腔镜检查.面部分析 面部分析视频laryngoscopy视频laryngoscopy视频laryngoscopy视频laryngoscopy视频laryngoscopy视频laryngoscopy视频laryngoscopy视频laryngoscopy视频laryngoscopy视频laryngoscopy视频laryngoscopy视频laryngoscopy视频laryngoscopy

更多相关视频

Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways
08:21

Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways

Published on: April 7, 2023

1.5K
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

2.5K

相关实验视频

Last Updated: Jul 8, 2025

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing
07:22

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing

Published on: December 1, 2023

513
Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways
08:21

Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways

Published on: April 7, 2023

1.5K
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

2.5K

科学领域:

  • 麻醉学 麻醉学
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 视频喉腔镜可改善气管管道输入成功,但需要有效的气道评估.
  • 预测难以实现的视频喉腔镜仍然对患者安全至关重要.
  • 目前的评估方法在预测输管困难方面存在局限性.

研究的目的:

  • 开发一种人工智能 (AI) 模型,用于预测困难的视频鼻镜.
  • 评估AI面部分析模型与传统方法的性能.
  • 利用神经网络从面部图像中提取特征.

主要方法:

  • 一个神经网络 (ResNet-18) 用于面部图像特征提取.
  • 机器学习算法被用来构建预测模型.
  • 视频喉科术的难度被定义为科尔马克-莱汉等级3或4.

主要成果:

  • 人工智能面部模型实现了0.779的曲线下的面积 (95%CI:0.733-0.825).
  • 灵敏度为0.757 (95% CI:0.650-0.845) 和特异性为0.721 (95% CI:0.626-0.794) 的情况.
  • 人工智能模型的表现明显优于临床检查和多变量评分 (p < 0.001).

结论:

  • 基于人工智能的面部分析是一种可行的方法,用于预测困难的视频喉科镜.
  • 与传统技术相比,开发的AI模型显示出优异的预测性能.
  • 这种人工智能方法在气道管理安全方面提供了有前途的进步.