AI could uncover hidden lung disease in routine chest X-Rays

NCT ID NCT07686562

Completed Diagnosis Sponsor: Chung-Ang University Hospital Source: ClinicalTrials.gov ↗

First seen Jul 07, 2026 · Last updated Jul 08, 2026 · Updated 1 time

Summary

This study evaluates an artificial intelligence (AI) software that analyzes chest X-rays to detect signs of interstitial lung disease (ILD), a group of conditions that scar the lungs. Researchers are checking how often the AI's flags for lung abnormalities turn out to be real disease, using follow-up CT scans as the gold standard. The study looks back at records of over 1,200 adults who had chest X-rays for other reasons, to see if the AI can incidentally catch ILD early.

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™ (AI software)
What this could lead to: If successful, this AI tool could help doctors catch interstitial lung disease earlier from routine chest X-rays, potentially leading to faster diagnosis and treatment.
What could go wrong: This is a retrospective study using existing records, not a controlled trial. The AI may flag false positives, and results may not apply to other hospitals or populations.

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.

idiopathic pulmonary fibrosis interstitial lung disease

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CHEST X-RAY FOR CLINICAL EVALUATION IDIOPATHIC PULMONARY FIBROSIS (IPF) INCIDENTAL FINDINGS INTERSTITIAL LUNG DISEASE (ILD) LUNG DISEASE, INTERSTITIAL

Contacts and locations

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Locations

Chung-Ang University Hospital

Seoul, Seoul, 06973, South Korea

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