Artificial intelligence reads tissue samples in minutes to guide cancer surgery
NCT ID NCT07708207
First seen Jul 16, 2026 · Last updated Jul 17, 2026 · Updated 1 time
Summary
This study is developing an artificial intelligence model that can analyze frozen-section pathology images—tissue samples examined during surgery. The goal is to help pathologists quickly and accurately diagnose cancer while the patient is still in the operating room. Researchers will train the AI on thousands of past cases and then test it in real-world hospital settings across multiple organ systems.
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 foundation model for frozen-section pathology
- What this could lead to
- If successful, this AI model could help pathologists diagnose cancer faster and more accurately during surgery, potentially improving patient outcomes.
- What could go wrong
- This is an observational study, so the AI is not yet tested in real-time decision-making. Its performance may vary across different hospitals or 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
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Locations
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Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, Guangdong
Guangzhou, China
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