Reinforcement Learned Automatic Anesthesia System During Painless Gastrointestinal Endoscopy (NCT06857344) | Clinical Trial Compass
RecruitingNot Applicable
Reinforcement Learned Automatic Anesthesia System During Painless Gastrointestinal Endoscopy
China164 participantsStarted 2025-05-01
Plain-language summary
The goal of this clinical trial is to compare the performance difference between trained model and clinical professionals in anesthesia control during gastrointestinal endoscopy. The participants would include adults aged between 18-65 years old with ASA scores I-II. The main questions it aims to answer are:
* Can AI model successfully and safely perform anesthesia during gastrointestinal endoscopy?
* Researchers hypothesis that anesthesia performed by professionals is not inferior to those performed by AI model.
The researchers will compare the results of the AI group with the traditional group to see if both groups have similar success rates in performing anesthesia.
Participants will fast for 8 hours before the procedure, and drinking water will be prohibited for 2 hours after taking the intestinal purgatives.
Who can participate
Age range
18 Years – 65 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* American Society of Anesthesiologists (ASA) physical status class I-II
* Expected operation duration less than 1 hour
Exclusion Criteria:
* History of cardiac, hepatic, renal, or metabolic disorders (e.g., diabetes, hypertension, sleep apnea)
* Known allergy to opioids or ciprofloxacin components
* Cachexia
* Hypothermia; history of narcotic abuse; chronic alcoholism; obesity (BMI \>30); patients with apnea
* Current pregnancy or lactation
* History of substance abuse or alcohol dependence
* Participation in any other drug clinical trial within the past 3 months
* Obesity (BMI \>30 kg/m²)
* Procedure termination due to gastric retention or inadequate bowel preparation
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
Incidence of hypoxemia
Timeframe: During procedure
Trial details
NCT IDNCT06857344
SponsorBoston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.