AI reads scans to spot esophageal cancer and predicts best treatment path
NCT ID NCT07629921
First seen Jun 24, 2026 · Last updated Aug 06, 2026 · Updated 3 times
Summary
This study tests two AI models that analyze endoscopy and CT images to diagnose esophageal cancer and predict how deep the tumor has grown. The goal is to help doctors decide if a patient can be treated with a less invasive endoscopic procedure or needs more aggressive therapy. The trial includes 264 participants with esophageal squamous cell carcinoma.
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 more accurately diagnose esophageal cancer and decide whether patients need surgery or less invasive treatment.
- What could go wrong
- This is an early-stage AI model study, not a treatment trial. The AI may not be accurate enough for all patients, and results may not apply to other hospitals or populations.
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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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Zhongshan Hospital
Shanghai, China
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