TrialReader


The Improvement Effect of Real-time Artificial Intelligence Assisted Identification of Bleeding Points on Hemostasis Efficiency in Endoscopic Submucosal Dissection

NCT07495137 — Not applicable, Not yet recruiting, 160 participants, Qilu Hospital of Shandong University

ClinicalTrials Daily  ·  Areas  ·  Conditions  ·  Drugs  ·  Sponsors  ·  

The Improvement Effect of Real-time Artificial Intelligence Assisted Identification of Bleeding Points on Hemostasis Efficiency in Endoscopic Submucosal Dissection (ESD): a Multicenter, Randomized Controlled Trial

RegistryNCT07495137
StatusNot yet recruiting
PhaseNot applicable
Study typeInterventional; randomized, parallel, masking: triple, treatment
Enrollment160 (Estimated)
SponsorQilu Hospital of Shandong University (Other); collaborators: Qianfoshan Hospital, Shandong Provincial Hospital
ConditionsEndoscopic Submucosal Dissection, Endoscopic Submucosal Dissection (ESD)
InterventionsAI real-time assistance in endoscopic submucosal dissection (ESD) for bleeding spot identification and marking (Device)
Datesstart 2026-09-01 (estimated), primary completion 2027-06-30 (estimated), completion 2027-12-31 (estimated), first posted 2026-03-27, last updated 2026-09-03

Related Papers Related Patents Related Grants Related Experts
AI Assistant Save
All trials for Endoscopic Submucosal Dissection All trials for Endoscopic Submucosal Dissection (ESD) All trials of AI real-time assistance in endoscopic submucosal dissection (ESD) for bleeding spot identification and marking

-Summary

The goal of this clinical trial is to learn if an artificial intelligence (AI) system that identifies bleeding points in real time can help stop bleeding faster during endoscopic submucosal dissection (ESD) - a minimally invasive surgery for early digestive tract cancer or precancerous lesions. It will also learn about the AI system's effect on surgery-related problems (like perforation or delayed bleeding) and total surgery time.

The main questions it aims to answer are:

1. Does the AI system shorten the time it takes to stop each bleed during ESD?
2. How does the AI system affect the rate of surgery-related problems and total surgery time?

Researchers will compare two groups to see if the AI system improves hemostasis efficiency:

1. AI group: During ESD, the AI system will real-time spot and mark bleeding points. Doctors will use these marks to stop bleeding.
2. Control group: Doctors will use the same equipment but without the AI system - they will find and stop bleeding using their own experience.

Participants will:

1. Have ESD surgery for esophageal, stomach, or colorectal lesions that need this treatment;
2. Be randomly assigned to either the AI group or the control group;
3. Attend follow-up checks in 14 days after surgery to check for complications;
4. Have their surgery videos reviewed by experts to record hemostasis time and total surgery time.

Expand all sections  ·  Collapse all

+Arms and interventions

ArmTypeInterventionsDescription
AI-assisted GroupExperimentalDevice: AI real-time assistance in endoscopic submucosal dissection (ESD) for bleeding spot identification and markingDuring the endoscopic submucosal dissection (ESD) procedure, an artificial intelligence (AI) real-time bleeding point recognition system is utilized. The system dynamically analyzes endoscopic images to identify and mark bleeding sites in real time. Endoscopists perform hemostatic operations promptly based on these AI-generated markers.
Conventional treatment groupNo interventionPatients undergo ESD using the same hardware platform, but the AI system is deactivated. Hemostatic decisions and operations are solely dependent on the endoscopists' clinical experience-they independently judge the location of bleeding points and perform hemostasis without AI assistance.
  • AI real-time assistance in endoscopic submucosal dissection (ESD) for bleeding spot identification and marking (Device): Patients undergo ESD with real-time AI assistance. During the operation, the pre-trained and validated AI system continuously analyzes endoscopic images to automatically identify and mark active bleeding points in real time. Endoscopists perform hemostatic operations (e.g., coagulation with hemostatic forceps or electrosurgical knives) based on the AI-generated marks to target bleeding sites promptly.

+Outcome measures

Primary outcomes

  • Average single hemostasis time [Periprocedural]

Secondary outcomes

  • Incidence of postoperative complications [14 days post-procedure]: Complications include intraoperative and postoperative perforation, damage to the muscularis propria, etc
  • Total operation duration [Periprocedural]
  • Psychological stress experienced by the endoscopist [Periprocedural]: Be evaluated subjectively on a five point scale

+Eligibility

Sex: All, ages: 18 Years to 80 Years

Inclusion Criteria

1. Aged 18-80 years;
2. Lesions meet the indications for ESD treatment of the esophagus, stomach, or colorectum according to relevant guidelines;
3. Anticoagulant drugs have been suspended according to relevant guidelines;
4. Patients with American Society of Anesthesiologists (ASA) classification Grade I or II;
5. Patients who voluntarily sign the informed consent form.

Exclusion Criteria

1. Patients with severe cardiopulmonary diseases, coagulation dysfunction or other severe comorbidities that may increase surgical risks;
2. Patients undergoing dialysis treatment;
3. Pregnant or lactating women;
4. Deemed unsuitable for participation in this study by the principal investigator or other researchers.

My Notes