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

Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18-80
SponsorQilu Hospital of Shandong University

About this trial

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.

Eligibility criteria

Qualifiers

Aged 18-80 years;

Lesions meet the indications for ESD treatment of the esophagus, stomach, or colorectum according to relevant guidelines;

Anticoagulant drugs have been suspended according to relevant guidelines;

Patients with American Society of Anesthesiologists (ASA) classification Grade I or II;

Disqualifiers

Patients with severe cardiopulmonary diseases, coagulation dysfunction or other severe comorbidities that may increase surgical risks;

Patients undergoing dialysis treatment;

Pregnant or lactating women;

Deemed unsuitable for participation in this study by the principal investigator or other researchers.

Trial design

Treatments tested in this trial

  • AI real-time assistance in endoscopic submucosal dissection (ESD) for bleeding spot identification and marking

Treatment groups

160 Participants
are divided into 2 treatment groups

Locations

This trial has no locations

Sponsors and collaborators

Qilu Hospital of Shandong University

Lead sponsor

Qianfoshan Hospital

Collaborator

Shandong Second Provincial General Hospital

Collaborator