Plain-English translation of NCT05968898 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 trial is testing a new artificial intelligence tool called the Lung Cancer Prediction computer-aided diagnosis tool, which analyzes CT scan images to help doctors better assess whether a small lung nodule might be cancer. The study will compare how doctors make treatment decisions when they use this AI tool versus when they make decisions the usual way, without the tool. The goal is to see if the AI tool helps doctors provide better care and avoid unnecessary procedures.
Small lung nodules are commonly found on CT scans, but it can be hard to know which ones might be cancer and which ones are harmless. This uncertainty can lead to unnecessary tests or delays in diagnosis. This trial is testing whether the new AI tool can help doctors make faster, more accurate decisions about which nodules need closer monitoring or further testing.
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If you join this study, you will be randomly assigned to one of two groups. Both groups will have a clinic visit at Penn Medicine where a doctor evaluates your lung nodule as part of normal care. The difference is that one group's doctor will also receive a risk assessment report from the AI tool to help guide their recommendations. You may need follow-up visits or imaging tests depending on what your doctor recommends, but the study itself doesn't require you to take medication or undergo any special procedures beyond your regular clinical care.
AI-generated summary from trial data · Jun 6, 2026 · Not medical advice
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