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

Efficacy of basal implants in compromised ridge - A prospective study.

National journal of maxillofacial surgery·2026
Same author

In-Situ TEM Studies of Halide Perovskite Memristors: Mechanistic Insights and Future Directions.

Nano letters·2026
Same author

Agentic AI systems in electrical power systems engineering: current state-of-the-art and challenges.

Frontiers in artificial intelligence·2026
Same author

Feto-maternal outcomes in hypertensive disorders of pregnancy: a prospective community-based cohort study in rural central India.

Pregnancy hypertension·2026
Same author

Comparison of primary and secondary stroke outcomes between government and private healthcare institutions: insights from the SPRINT India trial.

Frontiers in stroke·2026
Same author

Environmental performance of olive stone-plastic waste activated carbon composites.

RSC advances·2026

相关实验视频

Updated: May 14, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.7K

基于人工智能的深度学习算法用于地面玻璃不透明度节点检测:一篇评论

Henil P Shah1, Agha Sah Naqvi2, Parth Rajput1

  • 1GMERS Medical College, Gujarat, India.

Narra J
|May 12, 2025
PubMed
概括

人工智能 (AI) 在胸部CT扫描上检测地面玻璃不透明度 (GGOs) 方面表现有前途. 像WOANet这样的模型表现出高精度和特异性,有助于早期肺部疾病诊断.

关键词:
地玻璃的不透明性图像X射线图像X射线图像X射线图像X射线图像深度神经网络是一个神经网络.高分辨率的CT扫描.肺部结节 肺部结节

更多相关视频

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.3K
Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
10:26

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

1.7K

相关实验视频

Last Updated: May 14, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.7K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.3K
Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
10:26

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

1.7K

科学领域:

  • 放射学 放射学是一门学科.
  • 医学成像分析 医学成像分析
  • 人工智能在医学中的应用

背景情况:

  • 在胸部计算机断层扫描 (CT) 扫描上,地面玻璃不透明度 (GGOs) 是各种肺病理的关键指标.
  • 早期检测GGOs对于管理COVID-19,肺炎和肺癌等疾病至关重要.
  • 人工智能 (AI) 为分析复杂的医学成像数据提供了先进的功能.

研究的目的:

  • 系统地评估AI模型在高分辨率CT扫描上检测GGO结节的性能.
  • 评估AI模型使用关键诊断指标,包括准确度,灵敏度,特异性,F1得分,AUC和精度.
  • 综合最近关于人工智能驱动的GGO检测在肺部成像中的研究结果.

主要方法:

  • 在PubMed,Google Scholar,Scopus和ScienceDirect进行了全面的文献搜索,搜索了2016年至2024年间发表的研究.
  • 包括专注于深度学习算法的研究,应用于用于检测GGO的高分辨率CT扫描.
  • 使用诊断准确性研究质量评估2 (QUADAS-2) 工具评估研究质量,并对数据进行了定性合成.

主要成果:

  • 在5,247个记录中,18项研究符合人工智能辅助GGO检测的纳入标准.
  • 丹森网实现了高准确率99.48%,而WOANet报告了98.78%的准确率,具有98.37%的灵敏度和99.19%的特异性.
  • 在GGO检测中,WOANet在高特异性和灵敏性之间取得了很强的平衡.

结论:

  • 人工智能模型表明,在胸部CT扫描上精确检测GGOs的巨大潜力.
  • 特定的AI架构,如WOANet,显示出有希望的诊断性能.
  • 未来的研究应该探索混合AI模型,以提高GGO检测的临床适用性和诊断产量.