AI tool forecasts stomach cancer recurrence with high accuracy

NCT ID NCT07243847

Completed Knowledge-focused Sponsor: Fudan University Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

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.

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.

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.

gastric adenocarcinoma gastric cancer gastric neoplasm

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

GASTRIC CANCER (GC)

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