Artificial intelligence spots hidden liver scarring from simple blood tests
NCT ID NCT07675525
First seen Jun 30, 2026 · Last updated Jul 01, 2026 · Updated 1 time
Summary
This study tests a computer program called NIMIT-AI that analyzes routine blood test results over multiple doctor visits to detect liver scarring in people with fatty liver disease (MASLD). Unlike the current standard method (FIB-4), which often misses cases and fails with incomplete data, NIMIT-AI uses deep learning to spot patterns suggesting fibrosis. The tool was developed using health records from 969 patients at a Thai hospital and showed better accuracy than FIB-4, even when some lab results were missing. No extra tests or procedures were required from patients.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- NIMIT-AI (artificial intelligence diagnostic model)
- What this could lead to
- If successful, this AI tool could help doctors catch liver scarring earlier in fatty liver disease patients, potentially preventing progression to severe liver damage.
- What could go wrong
- This is a retrospective study using data from one hospital in Thailand, so results may not apply to other populations. The AI needs prospective validation before clinical use.
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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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Faculty of Medicine Siriraj Hospital
Bangkok Noi, Bangkok, 10700, Thailand
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