Plain-English translation of NCT05195385 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
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 whether low-dose CT scans of the chest, read by both doctors and artificial intelligence software, can effectively screen for lung cancer in women who have a history of smoking. Researchers want to understand how well this approach works in real-world medical settings, and whether the artificial intelligence tool (called Veye Chest) can help doctors catch lung cancer earlier, when it may be easier to treat.
Lung cancer is a leading cause of cancer death worldwide, and studies have shown that regular screening with low-dose CT scans can save lives. However, most previous screening studies relied on expert chest specialists and did not test whether artificial intelligence could improve detection. This trial aims to see if combining standard radiologist readings with AI support could make lung cancer screening more effective and practical in everyday hospitals.
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You would receive three low-dose CT scans of your chest: one at the start of the study, one after 1 year, and one after 2 years. Each scan takes only a few minutes and uses a lower radiation dose than standard CT scans. Your scans will be reviewed by a trained radiologist and also analyzed with the help of artificial intelligence software to look for any suspicious nodules or growths that might need further attention.
AI-generated summary from trial data · Aug 8, 2026 · Not medical advice
France