Evaluate the Accuracy of a COPD Screening Algorithm Model - Trial NCT06109974
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.
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Study Focus
Observational
Sponsor & Location
Peking University First Hospital
Timeline & Enrollment
N/A
Sep 13, 2022
Oct 31, 2024
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
Data Source
ClinicalTrials.gov
NCT06109974
Non-Device Trial