AI outruns radiologists in detecting early lung scarring
NCT ID NCT07712952
First seen Jul 20, 2026 · Last updated Jul 21, 2026 · Updated 1 time
Summary
This study looks at whether an artificial intelligence program can detect early signs of idiopathic pulmonary fibrosis (IPF) on chest X-rays earlier than radiologists. IPF is a serious lung disease that causes scarring and is often diagnosed late. Researchers will compare the date the AI first spots a subtle lung abnormality with the date a radiologist first reported it, using historical X-rays from 175 patients. The goal is to see if AI can give an earlier warning, which could lead to faster treatment.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- VUNO Med-Chest X-ray, an AI software that analyzes chest X-rays for signs of lung disease
- What this could lead to
- If successful, this AI could help doctors diagnose idiopathic pulmonary fibrosis earlier, potentially leading to earlier treatment and better outcomes for patients.
- What could go wrong
- This is a retrospective study using historical data, so the AI's performance in real-time clinical practice may differ. The study is also small and single-center, so results may not apply broadly.
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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
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Locations
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Chung-Ang University Hospital
Seoul, South Korea
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