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.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Conditions

The condition(s) this trial relates to.

cirrhosis of liver metabolic dysfunction-associated steatotic liver disease

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • Faculty of Medicine Siriraj Hospital

    Bangkok Noi, Bangkok, 10700, Thailand