Plain-English translation of NCT06988579 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Read our Lung Cancer research guide →This study doesn't follow the usual testing phases — it may be an observational study or a different type of research.
This study is comparing two ways of reading lung cancer screening scans in community health centers. Half of the participants will have their scans analyzed using new AI-powered software, while the other half will have scans read by radiologists in the traditional way. The goal is to see whether the AI system can help doctors spot lung cancer earlier and more reliably, while also making the screening process faster and more cost-effective.
Lung cancer is a serious disease, and finding it early can save lives. However, community health centers often have limited resources and may struggle to screen large numbers of people quickly and accurately. This trial exists to find out whether AI technology can help these centers provide better screening without requiring more money or time.
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If you join this trial, you will receive a low-dose CT scan of your lungs—a type of imaging that uses less radiation than standard scans. Your scan will be randomly assigned to either the AI-assisted group (where new software analyzes your images) or the conventional group (where radiologists read your images the traditional way). Expert radiologists will verify all results to ensure accuracy, and you will be contacted with your results and any next steps based on what the scan shows.
AI-generated summary from trial data · Jun 18, 2026 · Not medical advice
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