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Artificial Intelligence (AI) Detection of Incidental Interstitial Opacity on Chest Radiography
Sponsor: Chung-Ang University Hospital
Summary
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.
Official title: Evaluating the Real-World Performance of Artificial Intelligence (AI)-Based Detection for Interstitial Lung Disease in Chest X-Ray Images
Key Details
Gender
All
Age Range
19 Years - Any
Study Type
OBSERVATIONAL
Enrollment
1293
Start Date
2022-02-01
Completion Date
2024-12-31
Last Updated
2026-07-07
Healthy Volunteers
Yes
Conditions
Interventions
VUNO Med®-Chest X-ray™
VUNO Med®-Chest X-ray™ is artificial intelligence (AI)-based software that supports the detection and diagnosis of abnormal findings on chest radiographs. It automatically identifies abnormal findings and provides information on their type and location to aid clinical decision-making.
Locations (1)
Chung-Ang University Hospital
Seoul, Seoul, South Korea