AI could spot liver cancer types and predict survival without needle biopsy
NCT ID NCT07658586
First seen Jun 27, 2026 · Last updated Jul 02, 2026 · Updated 2 times
Summary
This study is developing an artificial intelligence system that combines CT/MRI scans, lab results, and radiology reports to help diagnose liver cancer and predict how patients will fare after surgery. The AI aims to distinguish benign from malignant liver lesions and differentiate between two common liver cancer types—hepatocellular carcinoma and intrahepatic cholangiocarcinoma—without needing a biopsy. It will also estimate how long patients might live without the cancer returning after tumor removal. The research involves at least 600 patients and uses past medical data to train and test the AI model.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Artificial intelligence model
- What this could lead to
- If successful, this AI system could help doctors diagnose liver cancer subtypes more accurately without invasive biopsies and better predict patient outcomes after surgery.
- What could go wrong
- This is a retrospective study using existing data, not a prospective trial. The AI model may not perform as well in real-world settings or on diverse patient populations.
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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Guangxi Medical University First Affiliated Hospital
Nanning, Guangxi, China
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