AI tool forecasts stomach cancer recurrence with high accuracy
NCT ID NCT07243847
First seen Jun 25, 2026 · Last updated Jun 25, 2026
Summary
This completed study from Fudan University used a deep learning model to predict whether stomach cancer will come back after surgery. Researchers analyzed data from 5,000 patients across multiple hospitals in Eastern Asia. The model showed strong ability to identify early recurrence and could help doctors tailor treatment plans, including for those receiving chemotherapy before or after surgery.
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
deep learning model
What this could lead to
If successful, this model could help doctors predict which gastric cancer patients are at higher risk of recurrence, enabling more personalized follow-up and treatment decisions.
What could go wrong
This is a completed observational study, not a treatment trial. The model's predictions need further validation in real-world settings before routine use.
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.