AI spots hidden liver disease in routine scans
NCT ID NCT07613827
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests whether an AI system can help doctors identify patients with fatty liver disease who need specialist care. About 8,000 adults getting routine CT scans will have their images analyzed by AI to flag those at risk. The goal is to see if AI can improve detection and referral compared to standard care.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI-guided screening system
- What this could lead to
- If successful, this could make early detection of serious fatty liver disease faster and more accurate using CT scans already done for other reasons.
- What could go wrong
- This is an early-stage study testing a new workflow, not a treatment. The AI may not improve detection in real-world settings and could lead to unnecessary referrals.
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.
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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Shengjing Hospital of China Medical University
Shenyang, Liaoning, 110004, China
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Other studies related to the condition(s) this trial covers.
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