AI may solve tricky liver diagnosis puzzle

NCT ID NCT05532345

Completed Knowledge-focused Sponsor: Beijing Friendship Hospital Source: ClinicalTrials.gov ↗

First seen Jul 06, 2026 · Last updated Jul 07, 2026 · Updated 1 time

Summary

This study tests whether artificial intelligence can help doctors tell the difference between drug-induced liver injury and autoimmune hepatitis, two conditions that look very similar. Researchers are building a machine learning model using data from over 2,500 patients. If it works, the tool could make diagnosis faster and more accurate, helping patients get the right treatment sooner.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this AI tool could help doctors quickly and accurately tell apart two similar liver conditions, leading to better treatment decisions.
What could go wrong: This is a retrospective study using existing medical records, so the AI may not work as well in real-time or in different patient populations. The model's accuracy is not yet proven in practice.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

autoimmune hepatitis drug-induced liver injury

As listed by the trial registrant

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

AUTOIMMUNE HEPATITIS DRUG-INDUCED LIVER INJURY

Contacts and locations

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Locations

Beijing Friendship Hospital, Capital Medical University

Beijing, 100050, China

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