Artificial Intelligence (AI) Detection of Incidental Interstitial Opacity on Chest Radiography

The goal of this observational study is to learn how well an artificial intelligence (AI)-based chest X-ray analysis software can incidentally detect interstitial lung disease (ILD), which appears as interstitial opacity, on chest X-rays taken for other reasons, and whether these AI-flagged findings represent true interstitial opacity. The main question it aims to answer is: How often does an AI-flagged interstitial opacity correspond to true ILD? This retrospective study uses existing records: researchers review each participant's follow-up computed tomography(CT), CT report, and final diagnosis to confirm true ILD and reticular opacity.

NCT Number	NCT07686562
Lead Sponsor	Chung-Ang University Hospital Collaborators: VUNO Inc.
Conditions	Lung Disease, Interstitial, Idiopathic Pulmonary Fibrosis (IPF), Incidental Findings, Interstitial Lung Disease (ILD), Chest X-ray for Clinical Evaluation
Enrollment	1,293 participants
Start Date	2022-02-01
Primary Completion	2024-12-31 (estimated)
Study Completion	2024-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-07-07