Related Experiment Video

Updated: Mar 19, 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

1.2K

Improving asthma control assessment and outcomes in children with asthma using an artificial intelligence digital

Anne B Chang1,2,3, Stephanie T Yerkovich1,2, Steven M McPhail4

  • 1Cough, Asthma and Airways Group, Australian Centre for Health Services Innovation and School of Medicine, Queensland University of Technology, Brisbane, QLD, Australia.

ERJ Open Research
|March 18, 2026
PubMed

Insights

Objectively assessing wheeze in children with asthma using WheezeScan™ technology may improve asthma control assessments and management. This AI-based device aids in reliable wheeze detection, enhancing care for pediatric asthma patients.

Area of Science:

  • Pediatric Pulmonology
  • Digital Health Technologies
  • Artificial Intelligence in Medicine

Background:

  • Asthma control and quality-of-life assessments in children often rely on wheeze detection.
  • Parental and physician detection of wheeze shows significant disagreement (>50%), impacting accurate asthma management.
  • Objective wheeze identification using WheezeScan™, an AI-based device, could enhance asthma control assessment.

Purpose of the Study:

  • To determine if WheezeScan™ improves parental asthma control assessment (ACA) in children (aged 4-11).
  • To evaluate WheezeScan™'s impact on patient-reported outcomes (PROs), parent asthma management self-efficacy (PAMS), healthcare costs, and ease of use.
  • To test the hypothesis that WheezeScan™ use alters ACA in pediatric asthma patients.

Main Methods:

  • A multicenter prospective cohort study involving 125 children with confirmed asthma.
  • Parents/caregivers used WheezeScan™ twice daily for 5 weeks, with potential medication adjustments based on scores.
  • Primary endpoint: proportion of children with changed asthma control assessment between baseline and week 1, using WheezeScan™ data.

Main Results:

  • The study protocol outlines the methodology for assessing WheezeScan™'s effectiveness.
  • Data collection includes baseline, week 1, and week 5 assessments.
  • Secondary outcomes encompass PROs, PAMS, healthcare costs, and device usability.

Conclusions:

  • This study protocol investigates the use of digital technology for accurate wheeze identification in pediatric asthma.
  • The aim is to improve asthma assessment and related patient-reported outcomes.
  • Potential benefits include enhanced PAMS and reduced healthcare costs through objective wheeze detection.
Abstract

More Related Videos

Bronchial Thermoplasty: A Novel Therapeutic Approach to Severe Asthma14:39

Bronchial Thermoplasty: A Novel Therapeutic Approach to Severe Asthma

Published on: November 4, 2010

32.6K

Related Concept Videos

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:
3.3K
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...
4.0K
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.
1.6K
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...
3.7K
Inhaled Medications01:23

Inhaled Medications

Inhaled medications are crucial for managing chronic obstructive pulmonary disease (COPD) and asthma. They are essential for effective treatment and control, ensuring optimal respiratory health and well-being. Inhaled medication delivers drugs directly to the lungs, providing a rapid onset of action and reducing systemic side effects compared to oral or injectable medications. Three primary types of inhalation devices are used to administer these medications: nebulizers, metered-dose inhalers...
965
Asthma-III: Symptoms and Complications01:24

Asthma-III: Symptoms and Complications

Asthma, a common chronic respiratory condition, is classified considering the frequency and severity of symptoms alongside lung function impairment. Understanding this classification is essential for appropriate treatment and management. Here's a detailed look at the classification of asthma and its clinical features and complications:
Classification of Asthma
3.6K