Plain-English translation of NCT04843176 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.
Researchers have developed a new artificial intelligence algorithm—a computer program trained to recognize liver cancer patterns on CT scans. This trial is testing whether this AI algorithm can diagnose liver cancer more accurately than the current standard method (called LI-RADS) that radiologists use. The study will compare how well both approaches work in real patients who are at risk for developing liver cancer.
Liver cancer is very serious and difficult to diagnose early, but survival improves dramatically when it's caught at an earlier stage. The current standard method sometimes gives uncertain results in up to half of cases, which delays diagnosis and treatment. This study aims to find out whether artificial intelligence can provide faster, more accurate diagnosis to help patients get treated sooner.
You would have a CT scan with contrast dye (similar to what you may have already had for diagnosis). Your scan would then be analyzed in two ways: by the new artificial intelligence algorithm and by experienced radiologists using the standard method. The study compares how accurately each approach identifies liver cancer, and you would be informed of the results. The main participation is the single CT scan visit.
AI-generated summary from trial data · Jun 27, 2026 · Not medical advice
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