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

Asthma-II: Pathophysiology and Classification01:26

Asthma-II: Pathophysiology and Classification

2.6K
Asthma is a prevalent chronic respiratory condition marked by inflammation and hyperresponsiveness of the airways. Its pathophysiology involves complex interactions among inflammatory pathways, immune responses, and neural mechanisms.
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
2.6K
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

2.5K
Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History
2.5K
Pulmonary Hypertension: Classification and Pathogenesis01:30

Pulmonary Hypertension: Classification and Pathogenesis

168
Pulmonary hypertension (PH) is a severe health condition in which the mean pulmonary arterial pressure increases to 25 mmHg or more, even when the body is at rest. This high pressure in the blood vessels that transport blood from the heart to the lungs can cause various symptoms, including shortness of breath, can lead to right heart failure, and significantly affect the overall quality of life.
There are various classifications for PH, each relating to different underlying causes and also...
168
COPD: Pathogenesis and Clinical Features01:20

COPD: Pathogenesis and Clinical Features

258
Chronic obstructive pulmonary disease (COPD) is a group of lung conditions that progressively worsen over time, including chronic bronchitis and emphysema. This cluster of diseases collectively leads to a gradual and irreversible decline in lung function over time.
The primary cause for the onset of COPD is cigarette smoking and exposure to air pollution. These hazardous factors initiate a chain reaction within the lungs, resulting in chronic inflammation, damage to the airways, and a...
258
Chronic Obstructive Pulmonary Disease-I: Introduction01:20

Chronic Obstructive Pulmonary Disease-I: Introduction

2.8K
Chronic Obstructive Pulmonary Disease (COPD) is a long-lasting respiratory condition requiring continuous attention and care. It is a progressive lung disease that leads to breathing challenges due to airflow obstruction. It manifests as persistent respiratory symptoms and restricted airflow resulting from abnormalities in the airways and alveoli, usually due to long-term exposure to harmful particles or gases. COPD mainly consists of two primary conditions: emphysema and chronic bronchitis.
2.8K
Chronic Obstructive Pulmonary Disease-II: Pathophysiology01:20

Chronic Obstructive Pulmonary Disease-II: Pathophysiology

2.8K
Chronic Obstructive Pulmonary Disease (COPD) pathophysiology is intricate and multifaceted, involving a complex interplay of physiological processes. Understanding these mechanisms is crucial for effectively managing and treating COPD. Here is an in-depth look at the critical elements in the pathophysiology of COPD:
Chronic Inflammation
2.8K

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

Effects of Dehydroepiandrosterone in Pulmonary Hypertension (EDIPHY): A Randomized, Double-Blind, Placebo-Controlled Crossover Trial.

Annals of the American Thoracic Society·2026
Same author

A blockchain-enabled IoT framework for smart electro-medical waste management.

Scientific reports·2026
Same author

Correction: HS-RankFormer for efficient and robust RGB-to-Hyperspectral image reconstruction across domains.

Scientific reports·2026
Same author

HS-RankFormer for efficient and robust RGB-to-Hyperspectral image reconstruction across domains.

Scientific reports·2026
Same author

Advanced security in fog environments using encryption and adaptive user activity tracking.

Scientific reports·2026
Same author

Quality of Life Assessment in Childhood Asthma: A Cross-Sectional Validation of the Mini-Version of Pediatric Asthma Quality of Life Questionnaire in Indian Children.

Indian pediatrics·2026

相关实验视频

Updated: Jun 23, 2025

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

1.8K

优化轻量化和通用化模型用于肺部疾病分类和严重性评估

Saurabh Agarwal, K V Arya, Yogesh Kumar Meena

    IEEE transactions on medical imaging
    |June 19, 2024
    PubMed
    概括

    一个新的轻量级人工智能模型,CNN-O-ELMNet,可以高精度地有效检测多种肺部疾病. 这种先进的系统为医疗保健中早期肺部疾病检测和严重程度评估提供了计算效率高的解决方案.

    科学领域:

    • 医疗成像医学成像
    • 医疗保健中的人工智能
    • 计算生物学 计算生物学

    背景情况:

    • 肺部疾病对全球健康造成重大负担,需要改进的诊断工具.
    • 当前的计算机辅助检测 (CAD) 系统通常专注于单个疾病,并利用计算密集的深度学习模型.
    • 现有的方法在肺部疾病诊断中难以获得效率和广泛适用性.

    研究的目的:

    • 推出CNN-O-ELMNet,一种新的轻量级分类模型,用于有效和多功能地检测肺部疾病.
    • 克服疾病特定的CAD系统和复杂的深度学习方法的局限性.
    • 通过人工智能使各种肺部疾病的早期和准确诊断成为可能.

    主要方法:

    • 开发了CNN-O-ELMNet,集成一个卷积神经网络 (CNN) 与一个优化的极端学习机器 (ELM).
    • 采用帝国主义竞争算法 (ICA) 来优化极端学习机器组件.
    • 评估了用于肺胸部,肺结核和肺癌检测的基准数据集的模型,以及用于多类严重性评估 (Brixia分数).

    主要成果:

    • 在二进制分类中,CNN-O-ELMNet取得了很高的准确性:97.85%的结核病和97.7%的肺癌检测.
    • 该模型在特定疾病分类中与最先进的方法相比显示出更高的性能 (p < 0.05).

    更多相关视频

    Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
    07:56

    Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models

    Published on: November 11, 2020

    4.3K
    Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
    08:05

    Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

    Published on: December 19, 2020

    14.1K

    相关实验视频

    Last Updated: Jun 23, 2025

    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

    1.8K
    Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
    07:56

    Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models

    Published on: November 11, 2020

    4.3K
    Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
    08:05

    Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

    Published on: December 19, 2020

    14.1K
  • 在基于Brixia分数的肺病严重程度 (轻度,中度,严重) 的多类评估中获得了96.2%的准确性.
  • 保持低计算复杂度,只有2481个可训练的参数.

    • 结论:

    • CNN-O-ELMNet为检测多种肺部疾病提供了一种计算效率高和高度准确的解决方案.
    • 该模型在二元和多类肺病评估中的有效性表明它适合在资源有限的医疗保健设备上部署.
    • 这种轻量级的人工智能方法有可能提高全球肺部疾病的早期诊断和管理.