RecruitingNCT07447596

Oscillometry and Machine Learning Approaches

Feasibility Study of Forced Oscillometry in the Prediction of Chronic Respiratory Diseases Using Machine Learning Approaches

Sponsor

Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau

Enrollment

50 participants

Start Date

Oct 15, 2025

Study Type

OBSERVATIONAL

Conditions

Asthma COPD

Summary

Unicentric retrospective study designed to analyses the performance of various machine learning approaches to predict patterns of chronic respiratory diseases such as asthma, based mainly on clinical information and respiratory spirometry/oscillometry.

Eligibility

Min Age: 18 YearsMax Age: 99 Years

Plain Language Summary

Simplified for easier understanding

This study is using a breathing test called oscillometry — where you simply breathe normally into a device while it sends gentle air pulses — combined with machine learning (AI) to better diagnose and distinguish between lung conditions like COPD, asthma, and interstitial lung disease. The goal is to develop a faster, easier way to assess lung function. **You may be eligible if:** - You are between 18 and 90 years old - You have already had a spirometry (standard breathing) test - You have a confirmed diagnosis of COPD, asthma, or interstitial lung disease (scarring of the lungs) **You may NOT be eligible if:** - You currently have an acute respiratory infection (such as a cold, flu, or pneumonia) Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

Interested in this trial?

Get notified about updates and connect with the research team.