AI could spot dangerous pancreatic cysts with greater accuracy
NCT ID NCT07463872
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is testing an artificial intelligence model called Cyst-AI that uses endoscopic ultrasound images and patient data to help doctors tell apart different types of pancreatic cysts. The goal is to improve diagnosis and guide treatment decisions. Researchers plan to enroll 500 adults with pancreatic cysts to see how well the AI performs.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Cyst-AI model (diagnostic test)
- What this could lead to
- If successful, this AI tool could help doctors more accurately diagnose pancreatic cysts and decide on the best treatment, potentially reducing unnecessary surgeries.
- What could go wrong
- This is an early-stage study with 500 participants, and the AI model may not perform as well in real-world settings or with different patient groups.
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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Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
NOT_YET_RECRUITINGWuhan, Hubei, 430030, China
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Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
RECRUITINGWuhan, Hubei, 430030, China
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Other studies related to the condition(s) this trial covers.