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NCT06109974Enrolling by invitation

Evaluate the Accuracy of a COPD Screening Algorithm Model

Evaluation of an Algorithm That Can Detect COPD by Intelligent Terminal Device
Peking University First HospitalClinicalTrials.gov
Verified
Study focus
Disease/Condition
COPD
Study type
Observational
Sponsor & location
Primary sponsor
Peking University First Hospital
Location
Beijing,Beijing,Beijing,Beijing,Beijing, China
Timeline & enrollment
Phase
N/A
Start date
Sep 13, 2022
End date
Oct 31, 2024
Enrollment
404 participants
Primary outcome

The diagnostic accuracy of the algorithm for COPD

Summary

Chronic obstructive pulmonary disease (COPD) is one of the most common respiratory diseases.
 Early detection and treatment are critical to prevent the deterioration of COPD. In this
 study, we have established an algorithm that can detect and infer the severity of COPD from
 physiological parameters and audio data collected by wearable devices, and in this stage, we
 aim to evaluate the accuracy of this algorithm.

ICD-10 classifications
Chronic obstructive pulmonary disease, unspecifiedOther chronic obstructive pulmonary diseaseOther specified chronic obstructive pulmonary diseaseChronic obstructive pulmonary disease with acute exacerbation, unspecifiedPulmonary heart disease, unspecified
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT06109974
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for NCT06109974 through Pure Global AI's free database. This phase not specified trial is sponsored by Peking University First Hospital and is currently Enrolling by invitation. The study focuses on COPD. Target enrollment is 404 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.