Plain-English translation of NCT06317181 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 are testing a new artificial intelligence system that analyzes ultrasound images to diagnose liver diseases. Instead of relying only on what doctors see in standard ultrasound pictures, this AI technology learns from the raw data that ultrasound machines collect. The goal is to see if this approach can accurately identify both widespread liver damage and specific problem areas in the liver.
Current methods for diagnosing liver disease have limitations — some require invasive procedures like biopsies, and others may not be equally accurate for all patients. This trial is exploring whether AI-powered ultrasound analysis could offer a faster, safer, and more reliable way to diagnose liver problems without needing additional tests.
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You will have a standard clinical ultrasound examination where doctors collect both regular ultrasound images and the underlying raw data that ultrasound machines generate. Depending on your situation, you may also have an elastography test (which measures liver stiffness) or additional imaging tests like MRI or CT scans if doctors need a definitive diagnosis. The ultrasound itself is painless and non-invasive, similar to any regular ultrasound you may have had before.
AI-generated summary from trial data · Jun 27, 2026 · Not medical advice
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