Plain-English translation of NCT06988943 on ClinicalTrials.gov β Β· Source last updated Β· Translation generated Β· How we translate trials
This study doesn't follow the usual testing phases β it may be an observational study or a different type of research.
This trial is testing a new digital screening approach for lung cancer that combines low-dose CT scans with artificial intelligence technology to help doctors spot early signs of the disease. The system is designed to work in community health centers, making screening more accessible to everyday people. Researchers want to see how well this approach can catch lung cancer at early stages, when it's often easier to treat.
Lung cancer is often found at advanced stages when treatment options are limited. This study exists to test whether using digital tools and artificial intelligence in community settings can help catch lung cancer earlier, potentially improving outcomes for patients.
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You would visit your community health center to complete a health questionnaire and have a low-dose CT scan of your chest. The artificial intelligence system would help analyze the images for any nodules or abnormalities. If anything is found, you would be referred to a hospital for further evaluation. Throughout the study, researchers would track your health information through a digital health program and follow up with you over time to see if any lung cancer is detected and how the screening system performs.
AI-generated summary from trial data Β· Jun 9, 2026 Β· Not medical advice
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