Reinforcement Learned Automatic Anesthesia System During Painless Gastrointestinal Endoscopy

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.

NCT Number	NCT06857344
Lead Sponsor	Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd. Collaborators: Zhengzhou Central Hospital, Xinzheng Public People's Hospital, Henan Provincial People's Hospital, Anxi County Hospital, Jinjiang Municipal Hospital, Shanghai Sixth People's Hospital Fujian Campus
Conditions	Anesthesia Induction
Enrollment	164 participants
Start Date	2025-05-01
Primary Completion	2025-09-01 (estimated)
Study Completion	2025-10-01 (estimated)
Updated on ClinicalTrials.gov	2025-08-15