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Clinical trial Recruiting at 1 site Observational Ages 18 to 90

AI-guided reoperation decisions for bleeding after stomach cancer surgery

Official title: A Multicenter Observational Study to Develop and Validate a Deep Learning Model for Dynamic Assessment of Postoperative Bleeding Risk to Assist Re-operation Decision-Making in Patients With Gastric Cancer

Run by First Affiliated Hospital of Zhejiang University · NCT07525765 · Data updated 2026-11-12

This project will test whether an AI model can predict serious postoperative bleeding and help doctors decide if and when to reoperate for adults after radical gastrectomy for gastric cancer.

More Gastric Cancer trials

Quick facts

Study typeObservational
Ages18 Years to 90 Years
SexAll
Enrollment7000 (estimated)
SponsorFirst Affiliated Hospital of Zhejiang University
Academic / other
Locations1 site (Hangzhou, Zhejiang)
StatusRecruiting
StartedApril 10, 2026
Main results expectedDecember 31, 2027
Study endsJanuary 31, 2028
Registry record updatedApril 13, 2026
Trial IDNCT07525765 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults (≥18) with histologically confirmed primary gastric cancer who underwent radical gastrectomy and have complete preoperative, intraoperative, and at least 15 days of postoperative follow-up data are the intended participants.

Probably not a fit

Patients who had non-radical or emergency surgery, have severe preoperative infection or organ failure, have key data missing >20%, or cannot complete prospective follow-up are unlikely to benefit from this model.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational hybrid study will develop and validate a deep learning model using both retrospective and prospective perioperative data from adults undergoing radical gastrectomy for primary gastric cancer. The model will integrate dynamic physiological parameters and precise intraoperative blood loss to predict the risk of postoperative bleeding that requires reoperation. Investigators will report model performance using metrics such as sensitivity, negative predictive value, AUC, and calibration and will examine whether the model could provide earlier warning times or better timing for interventions. Because there are no intervention arms, researchers will not randomize treatments but will test the predictive accuracy and potential clinical utility of the model using collected clinical records.

Why it matters

Potential benefit: If successful, this AI tool could provide earlier warnings and more precise timing for reoperation, potentially reducing mortality and shortening hospital stays for affected patients.

How similar studies have gone: Some AI models for predicting postoperative complications have shown promising accuracy in single-center reports, but applying AI specifically to guide reoperation for postoperative bleeding after gastrectomy is relatively novel and not yet widely validated.

Who can join: the full rules

Show full inclusion / exclusion criteria 
Inclusion Criteria:

1. Age: Patients aged ≥ 18 years.
2. Diagnosis: Histologically confirmed primary gastric cancer.
3. Surgical Procedure: Underwent radical gastrectomy (including proximal, distal, or total gastrectomy).
4. Consent: Provision of written informed consent (required specifically for the prospective phase).
5. Data Completeness: Availability of complete preoperative clinical data and postoperative follow-up records covering at least the first 15 days post-surgery.
6. Oncological History: No history of other primary malignant tumors.

Exclusion Criteria:

1. Surgical Type: Patients who underwent non-radical resection or emergency surgery.
2. Data Quality: Missing rate of key data fields exceeds 20%.
3. Preoperative Condition: Presence of severe preoperative infection or organ failure.
4. Follow-up Compliance: Unwillingness to participate in prospective follow-up or inability to complete the follow-up schedule (applicable only to the prospective phase).

Where it's running

  • The First Affiliated Hospital, Zhejiang University School of Medicine Yuhang Campus
    Hangzhou, Zhejiang, China     Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
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Gastrectomy for Gastric Cancer 5Gastric Cancer 325First Affiliated Hospital of Zhejiang University 82
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.