Plain-English translation of NCT06509230 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are building an artificial intelligence system that can accurately detect and grade liver scarring by combining ultrasound images, blood work, and tissue samples. The goal is to create a non-invasive tool that could replace the need for liver biopsies (needle procedures) in the future. This study will help validate this new technology across multiple medical centers.
Currently, the most reliable way to diagnose liver scarring requires a liver biopsy—an uncomfortable procedure where a needle is inserted into the liver to collect tissue. This new treatment aims to eliminate that need by using advanced imaging and AI analysis to accurately diagnose liver scarring from safer, simpler tests.
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You would provide blood samples, undergo ultrasound imaging, and have a liver biopsy performed under ultrasound guidance so doctors can confirm your liver scarring grade. Researchers will then use your imaging data, blood work, and biopsy results to train and test their AI system. The study involves collecting data from 700 participants across multiple medical centers to ensure the AI tool works reliably for many different patients.
AI-generated summary from trial data · Jun 24, 2026 · Not medical advice
China
East China University of Science and Technology
Enrollment target
~700 participants
Started
July 2024
Primary completion
December 2024
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
18 Years – 60 Years
Last updated on clinicaltrials.gov in July 2024.
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Central contact
Haijun Huang
Huang Haijun
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