AI ultrasound could replace costly MRI for Kids' fatty liver
NCT ID NCT07265011
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested whether an artificial intelligence (AI) program can accurately measure liver fat using regular ultrasound images in children aged 8 to 18 with fatty liver disease. The AI's results were compared to MRI scans, which are the current gold standard. The goal is to provide a simpler, cheaper, and more accessible way to diagnose and monitor liver fat without needing an MRI.
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Study facts
What this study's own registry entry says, in plain language.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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50 people
The number who actually took part.
- Started
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Dec 2024
- Finished
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Sep 2025
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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8 to 18 years
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * participants aged 8 to 18 years clinically indicated for liver ultrasound examination to evaluate hepatic steatosis * participants with suspected or known metabolic dysfunction-associated steatotic liver disease (MASLD) * able to understand the study purpose and provide written informed consent (from both participant and legal guardian). * agree to undergo same-day liver MRI examination in addition to the ultrasound Exclusion Criteria: * unable to cooperate with imaging procedures * parent or legal guardian unable to understand the study explanation * contraindications to MRI * determined by the investigator to be otherwise unsuitable for participation after consultation
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Seoul National University Hospital
Seoul, 03080, South Korea
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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