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

Pneumonia IV: Management01:28

Pneumonia IV: Management

338
The treatment of pneumonia varies based on its severity and the causative pathogen. Here is a structured approach to managing pneumonia, integrating pharmaceutical and supportive care strategies.
Bacterial Pneumonia Treatment
For bacterial pneumonia, antibiotics serve as the cornerstone of therapy. Initial treatment often begins with empirical antibiotics, tailored to the anticipated causative organism and adjusted based on culture results. Key antibiotic choices include:
338
Pneumonia V: Nursing management and Prevention01:30

Pneumonia V: Nursing management and Prevention

2.1K
Nursing management of pneumonia involves promoting airway patency, facilitating rest and conserving energy, encouraging fluid intake, maintaining nutrition, and educating patients.
The nurse must practice strict medical asepsis and adhere to infection control guidelines to minimize healthcare-associated infections.
Enhance airway patency
Position the patient correctly to facilitate drainage of the affected lung segments. Manual or mechanical percussion and vibration can also be employed....
2.1K
Pneumonia III: Complications and Assessment01:30

Pneumonia III: Complications and Assessment

242
Pneumonia poses the potential for numerous complications that warrant consideration. These complications include the following:
242
Pneumonia I: Introduction01:30

Pneumonia I: Introduction

248
Pneumonia is an acute respiratory infection that targets the lungs, specifically the alveoli. These tiny air sacs, essential for oxygen exchange, become engorged with pus and fluid, severely hindering breathing, decreasing oxygen absorption, and causing significant pain and discomfort during respiration.
Risk Factors
Various factors influence the likelihood of developing pneumonia. Age plays a crucial role, with infants, children under two, and individuals over 65 at increased risk due to their...
248
Pneumonia II: Pathophysiology01:29

Pneumonia II: Pathophysiology

296
The pathophysiology of pneumonia involves the following steps:
296
Chronic Obstructive Pulmonary Disease-V: Management01:29

Chronic Obstructive Pulmonary Disease-V: Management

2.6K
Managing Chronic Obstructive Pulmonary Disease (COPD) involves a multifaceted approach to reduce symptoms, prevent exacerbations, improve overall health status, and slow disease progression. Key strategies include lifestyle modifications, pharmacotherapy, supportive therapies, and, in some cases, surgery. Here is an overview of the primary COPD management strategies:
Smoking Cessation
2.6K

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

Airway immune signatures of protection and disease progression in recent human tuberculosis household contacts.

Nature immunology·2026
Same author

When tuberculosis is diagnosed after death: learning from those we have failed.

Thorax·2026
Same author

Is there an association between acute, subacute, and late genitourinary quality of life with prostate SBRT boost?

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026
Same author

Ethnicity-Stratified Normative Retinal Vascular Features from the UK Biobank Using Deep Learning.

Ophthalmology science·2026
Same author

Building an Interoperable Rare Disease Multi-omic Resource: The GREGoR Data Model and Dataset.

bioRxiv : the preprint server for biology·2026
Same author

Unusual Cause of Pain and Extensive Leg Swelling in a Teenage Girl.

Pediatrics in review·2026

相关实验视频

Updated: Jul 12, 2025

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii
09:17

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii

Published on: January 2, 2017

14.7K

一个数据驱动的临床决策支持框架,应用于肺炎管理.

Robert C Free1, Daniel Lozano Rojas2, Matthew Richardson2

  • 1School of Computing and Mathematical Sciences, University of Leicester, Leicester, United Kingdom.

Frontiers in digital health
|October 25, 2023
PubMed
概括

一个新的框架简化了将人工智能 (AI) 和机器学习 (ML) 临床决策支持工具嵌入卫生系统. 这通过可视化人工智能预测来管理社区获得的肺炎,提高患者优先级来增强信任.

关键词:
人工智能的人工智能是人工智能.临床决策支持 临床决策支持数据驱动的数据驱动.机器学习是机器学习.肺炎是一种肺炎.

更多相关视频

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

844
Osteopathic Manipulative Treatment as a Useful Adjunctive Tool for Pneumonia
13:27

Osteopathic Manipulative Treatment as a Useful Adjunctive Tool for Pneumonia

Published on: May 6, 2014

48.1K

相关实验视频

Last Updated: Jul 12, 2025

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii
09:17

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii

Published on: January 2, 2017

14.7K
Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

844
Osteopathic Manipulative Treatment as a Useful Adjunctive Tool for Pneumonia
13:27

Osteopathic Manipulative Treatment as a Useful Adjunctive Tool for Pneumonia

Published on: May 6, 2014

48.1K

科学领域:

  • 医疗信息学 医疗信息学
  • 人工智能在医学中的应用
  • 临床决策支持系统 临床决策支持系统

背景情况:

  • 将临床决策支持 (CDS) 工具,特别是使用机器学习 (ML) 和人工智能 (AI) 的工具整合到健康信息系统中仍然具有挑战性.
  • 复杂的AI/ML模型缺乏透明度,通常被认为是"黑子",可能会阻碍用户的信任和医疗保健专业人员的采用.
  • 社区获得性肺炎 (CAP) 是住院死亡的一个重要原因,需要有效的管理策略和决策支持.

研究的目的:

  • 介绍和评估一个以数据为导向的框架,旨在克服嵌入基于AI/ML的CDS工具的挑战.
  • 展示该框架在开发和测试用于医院内CAP管理的CDS工具中的应用.
  • 为了说明这些工具如何被整合到临床系统中,以增强可视化,以提高理解和信任.

主要方法:

  • 开发了一个数据驱动的框架,以解决基于AI/ML的CDS的可信性和信任问题.
  • 应用框架创建一个CDS工具来管理社区获得的肺炎,与当地指导方针保持一致.
  • 将CDS工具集成到原型临床系统中,将患者旅程和风险评估的指标和可视化纳入其中.

主要成果:

  • 开发的框架成功地应对了将复杂的AI/ML模型嵌入到临床工作流程中的挑战.
  • 该CDS工具在以后优先考虑患者进行CAP管理方面表现出有效性.
  • 整合到原型系统中为决策者提供了对患者数据,风险评分和AI预测的视觉见解.

结论:

  • 数据驱动的框架显示了开发,测试和评估工作流集成的CDS工具的巨大潜力,这些工具包含复杂的AI/ML模型.
  • 从框架中获得的可视化和指标增强了医疗保健提供者对AI/ML预测的解释性和可用性.
  • 这种方法有助于将先进的AI/ML能力无嵌入到临床系统中,培养信任并改善疾病管理.