AI model aims to predict surgery risks for stomach cancer patients

NCT ID NCT07401173

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing an artificial intelligence tool called DeepComp that uses CT scans and patient data to predict which stomach cancer patients are at high risk for major complications after surgery. Researchers will enroll 500 patients across five medical centers and compare the AI's predictions with what actually happens within 30 days after surgery. If accurate, this could help doctors plan better care and reduce risks for patients.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance

DeepComp AI model (multimodal deep learning radiomics)

What this could lead to

If successful, this AI tool could help doctors identify high-risk patients before surgery, allowing for better preparation and personalized care to reduce complications.

What could go wrong

This is an observational study, not a treatment trial. The AI model may not be accurate enough in real-world settings, and results may not apply to all patients or hospitals.

Disclaimer Read more

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.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for POSTOPERATIVE COMPLICATIONS are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

disease gastric adenocarcinoma gastric cancer gastric neoplasm Postoperative Complications

As listed by the trial registrant

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

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • the Fourth Hospital of Hebei Medical University

    RECRUITING

    Shijiazhuang, None Selected, 050011, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••