New algorithm aims to catch COPD before It's too late
NCT ID NCT07223749
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is testing a computer algorithm that uses health records to predict whether a person has COPD. Many people with COPD are not diagnosed until the disease is advanced, while others are wrongly told they have it. The goal is to see if the algorithm can correctly identify who truly has COPD, so patients can get the right care sooner.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a reliable way to diagnose COPD earlier and reduce misdiagnosis, helping patients get the right treatment sooner.
- What could go wrong
- This is an observational study testing an algorithm, not a treatment. The tool may not prove accurate enough in real-world settings, and results may not apply to all patient groups.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Wake Forest University Health Sciences
RECRUITINGWinston-Salem, North Carolina, 27157, United States
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