Evaluating the Real-World Performance of Artificial Intelligence (AI)-Based Detection for Interstitial Lung Disease in Chest X-Ray Images
Sponsor: Chung-Ang University Hospital
Trial Details
| Condition | Lung Disease, Interstitial, Idiopathic Pulmonary Fibrosis (IPF), Incidental Findings, Interstitial Lung Disease (ILD), Chest X-ray for Clinical Evaluation |
| Intervention | VUNO Med®-Chest X-ray™ |
| Status | Completed |
| Participants | 1,293 |
| Est. Completion | 31 Dec 2024 |
| Last Updated | 7 July 2026 |
Primary Outcome
Positive predictive value (PPV) of AI-detected interstitial opacity
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: * Adults aged 19 years or older * Visited the pulmonology and allergy clinic (outpatient or inpatient) at Chung-Ang University Hospital (Seoul or Gwangmyeong) and underwent chest radiography from January 2022 to December 2024 * A follow-up CT performed after the index chest radiograph * Reticular/interstitial opacity detected on the index radiograph by VUNO Med®-Chest X-ray™ Exclusion Criteria: * Prior history of ILD or ILD-related disease before the index chest radiograph, or a CT report containing terms related to interstitial opacity * Non-frontal (non-posteroanterior/anteroposterior \[PA/AP\]) chest radiograph view position * Missing CT report or final clinical diagnosis
Trial Sites
Countries
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