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Related Concept Videos

Asthma I: Introduction01:28

Asthma I: Introduction

Asthma is a chronic inflammatory disorder of the airways characterized by variable airflow obstruction and heightened bronchial responsiveness to a wide range of triggers. The underlying inflammation leads to airway swelling, mucus hypersecretion, and smooth muscle constriction, all of which narrow the airway lumen and impede airflow. Clinically, asthma presents with recurrent episodes of wheezing, shortness of breath, chest tightness, and coughing, symptoms that typically vary in intensity and...
Asthma-I: Introduction01:29

Asthma-I: Introduction

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...
Asthma-IV: Diagnostic and Management01:30

Asthma-IV: Diagnostic and Management

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:
Asthma: Pathogenesis and Management01:20

Asthma: Pathogenesis and Management

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.
Asthma-IV: Nursing Management01:30

Asthma-IV: Nursing Management

The nursing management of asthma is a comprehensive approach that relies heavily on the expertise and dedication of healthcare professionals. It involves thorough assessment, accurate diagnosis, strategic planning, effective implementation, and diligent evaluation. By meticulously following this step-by-step process, healthcare professionals play a crucial role in providing the best possible care and treatment for patients with asthma, enhancing their overall health and well-being.
First, in...
Ventilatory Modes01:14

Ventilatory Modes

Mechanical ventilators are life-saving devices that support or replace spontaneous breathing. They deliver breaths to patients through varying methods known as ventilator modes. Understanding these modes is critical for healthcare providers managing patients with respiratory failure.
There are three ventilatory modes: full support, partial support, and spontaneous. These are described below.
Full Support Modes
Full support modes include controlled mechanical ventilation, continuous mandatory...

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Related Experiment Video

Updated: Jun 27, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

Generative Artificial Intelligence and Prompt Engineering in Asthma-Related Settings.

Michelle Kwon1, Simeon Dicker1, Nabeela Mustafa2

  • 1CUNY School of Medicine, The City College of New York, New York, New York, USA.

Annals of Allergy, Asthma & Immunology : Official Publication of the American College of Allergy, Asthma, & Immunology
|June 25, 2026
PubMed
Summary
This summary is machine-generated.

Generative artificial intelligence (AI), specifically large language models (LLMs), offers valuable tools for asthma and allergy practice. Effective prompt engineering is key to harnessing AI for clinical decision support and patient education.

Related Experiment Videos

Last Updated: Jun 27, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Generative artificial intelligence (AI) and large language models (LLMs) are increasingly utilized in medical practice.
  • These AI systems can synthesize clinical information, streamline workflows, and summarize documentation.

Purpose of the Study:

  • To explore the application of AI, particularly LLMs, in asthma and allergy care.
  • To explain the principles and importance of prompt engineering for optimizing LLM outputs in clinical settings.

Main Methods:

  • The study reviews the capabilities of LLMs in analyzing patient data and supporting clinical decisions.
  • It details prompt engineering strategies, including defining roles, tasks, context, and output formats.
  • Different prompting techniques like open-ended, focused, chained, and choice-based prompts are discussed.

Main Results:

  • AI systems can analyze patient data, aid clinical decision-making, and enhance access to educational resources in asthma care.
  • Effective prompt engineering guides LLMs to generate accurate and clinically relevant outputs.
  • Structured prompts can support summarizing encounters, creating patient materials, and clinical reasoning.

Conclusions:

  • Understanding prompt design principles is crucial for clinicians using LLMs in asthma and allergy practice.
  • Appropriate prompt selection enhances the precision and clinical relevance of AI-generated information.
  • Prompt engineering empowers clinicians to leverage AI for improved patient care and workflow efficiency.