AI model aims to predict surgery risks for stomach cancer patients

NCT ID NCT07401173

Recruiting now Diagnosis Sponsor: Qun Zhao Source: ClinicalTrials.gov ↗

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.

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.

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.

GASTRIC CANCER (DIAGNOSIS) POSTOPERATIVE COMPLICATIONS

Contacts and locations

Locations

the Fourth Hospital of Hebei Medical University
RECRUITING

Shijiazhuang, None Selected, 050011, China

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