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Related Concept Videos

Asthma: Pathogenesis and Management01:20

Asthma: Pathogenesis and Management

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Asthma is a chronic pulmonary condition involving inflammation of the airways, hyper-reactivity, and reversible obstruction of the airways. This condition can significantly impact a person's quality of life, making breathing difficult and leading to distressing symptoms.
Asthma is classified as allergic and non-allergic. Allergens such as dust mites, pollen, and pet dander trigger allergic asthma, while factors like cold air, intense emotions, or exercise can induce non-allergic asthma.
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Asthma-II: Pathophysiology and Classification01:26

Asthma-II: Pathophysiology and Classification

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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:
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COPD: Management Using Bronchodilators and Corticosteroids01:26

COPD: Management Using Bronchodilators and Corticosteroids

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Chronic obstructive pulmonary isease (COPD) involves a group of progressive lung disorders characterized by persistent airflow limitation and chronic respiratory symptoms. Asthma-COPD Overlap Syndrome (ACOS), encompassing features of both asthma and Chronic obstructive pulmonary disease (COPD), is a group of progressive lung disorders that includes chronic bronchitis, emphysema, and refractory (non-reversible) asthma. ACOS leads to complex clinical presentations that combine the inflammatory...
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Asthma-IV: Diagnostic and Management01:30

Asthma-IV: Diagnostic and Management

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The diagnosis and management of asthma are comprehensive, encompassing clinical assessments, lung function tests, and pharmacological interventions. Here's an overview:
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
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Chronic Obstructive Pulmonary Disease-V: Management01:29

Chronic Obstructive Pulmonary Disease-V: Management

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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
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Asthma-I: Introduction01:29

Asthma-I: Introduction

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Asthma is a chronic respiratory ailment that requires careful management due to its varying symptoms and influencing factors. It is characterized by airway inflammation, bronchial hyperresponsiveness, and reversible airflow obstruction, leading to symptoms like wheezing, shortness of breath, chest tightness, and coughing. The symptom frequency and intensity may vary considerably over time. It is also linked to immune system responses to allergens and irritants, highlighting the complex...
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Asthma Detection Research Based on Voice Signal Processing and Machine Learning
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Artificial Intelligence in Asthma and COPD: Current Status and Future Potential.

Federica Marrelli1, Chiara Lupia1, Saverio Nucera1

  • 1Department of Health Sciences, "Magna Graecia" University-Catanzaro, 88100 Catanzaro, Italy.

Journal of Clinical Medicine
|March 28, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) shows promise for managing lung diseases like asthma and chronic obstructive pulmonary disease (COPD). Further validation is needed for safe clinical integration of these AI tools.

Keywords:
COPDartificial intelligenceasthmadeep learningmachine learning

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Area of Science:

  • Healthcare technology
  • Medical informatics
  • Respiratory medicine

Background:

  • Chronic respiratory diseases, including asthma and COPD, are significant global health burdens.
  • Artificial intelligence (AI), particularly machine learning and deep learning, offers potential for personalized care in lung diseases.
  • Effective AI implementation requires large datasets and clinician trust.

Purpose of the Study:

  • To review the current evidence on AI applications in managing asthma and COPD.
  • To explore how AI can support diagnosis, phenotyping, risk stratification, and monitoring in chronic respiratory disorders.

Main Methods:

  • A narrative literature review was conducted.
  • Searches included ScienceDirect, PubMed, and Google Scholar for English-language studies.
  • References of relevant articles were also screened.

Main Results:

  • AI is being utilized across the asthma-COPD spectrum for diagnosis, phenotyping, and risk prediction.
  • AI tools can enhance continuous monitoring using diverse data sources like clinical records and imaging.
  • AI applications show potential in improving outcomes and personalized care for asthma and COPD patients.

Conclusions:

  • AI-based tools can assist clinicians in diagnosing, phenotyping, and monitoring asthma and COPD.
  • Robust validation, transparency, and governance are crucial for the safe and reliable implementation of AI in routine clinical practice.
  • Ensuring patient safety and building trust are paramount for integrating AI into respiratory care.