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Reinforcement Learned Automated Anesthesia Systems During Painless Abortion
Sponsor: Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.
Summary
This study compares the automated anesthesia systems for painless abortion (AAS-PA) with traditional anesthesia in painless abortions. It assesses intraoperative indicators (hypoxemia, injection pain, hypotension, hemodynamics, respiratory depression) and postoperative outcomes (nausea, dizziness, recovery time, satisfaction). The AAS-PA group uses AI-adjusted intravenous ciprofol based on real-time vital signs and sedation depth; the traditional group relies on manual anesthesia. The goal is to verify if AAS-PA safely manages sedation, meets painless standards, reduces adverse events, and improves experience, aiding optimized automated protocols.
Official title: Automated Anesthesia Systems for Painless Abortion (AAS-PA): a Multi-center, Randomized Controlled Trial
Key Details
Gender
FEMALE
Age Range
18 Years - 45 Years
Study Type
INTERVENTIONAL
Enrollment
167
Start Date
2025-09-08
Completion Date
2027-11-08
Last Updated
2025-08-20
Healthy Volunteers
Yes
Interventions
AI Controlled General Anesthesia
During painless abortion, anesthesia will be induced using ciprofol, and controlled by an AI model.
General Anesthesia
Anesthesia will be induced using ciprofol, and controlled by experienced anesthesiologists.
Locations (8)
Fujian Provincial Hospital
Fuzhou, Fujian, China
Jinjiang Municipal Hospital (Shanghai Sixth People's Hospital Fujian)
Jinjiang, Fujian, China
Shishi Hospital
Quanzhou, Fujian, China
Peking University Shenzhen Hospital
Shenzhen, Guangdong, China
Zhengzhou Central Hospital Affiliated to Zhengzhou University
Zhengzhou, Henan, China
Sichuan Provincial People's Hospital
Chengdu, Sichuan, China
The First Affiliated Hospital of Army Medical University
Chongqing, China
The People's Hospital of Yubei District of Chongqing city
Chongqing, China