Reinforcement Learned Automated Anesthesia Systems During Painless Abortion
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: AI Controlled General Anesthesia, General Anesthesia.
- Who it may be relevant to
- Registry conditions: Painless Abortion, Artificial Intelligence (AI), Ciprofol. Basic parameters: 18 years — 45 years · Female.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Automated Anesthesia Systems for Painless Abortion (AAS-PA): a Multi-center, Randomized Controlled Trial
Overview
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.
Interventions
- Procedure AI Controlled General Anesthesia
During painless abortion, anesthesia will be induced using ciprofol, and controlled by an AI model. - Procedure General Anesthesia
Anesthesia will be induced using ciprofol, and controlled by experienced anesthesiologists.
Primary outcome measures
- Incidence of Hypoxemia [Time frame: During procedure]
Secondary outcome measures (10)
- Area under curve of hypoxemia [Time frame: During procedure]
- Duration of colonoscopy [Time frame: During procedure]
- Lowest value of blood oxygen saturation [Time frame: During procedure]
- Induction and maintenance doses of anesthesia [Time frame: During procedure]
- Ciprofol related adverse reactions [Time frame: During procedure]
- Induction time [Time frame: During procedure]
- Complete recovery time [Time frame: During procedure]
- Incidence of hypotension [Time frame: During procedure]
- Counts of body movement [Time frame: During procedure]
- Dose of norepinephrine [Time frame: During procedure]
Eligibility criteria
Inclusion criteria
- Age between 18-45 years
- ASA status Ⅰ to Ⅱ
- Diagnosed with early intrauterine pregnancy
- Body mass index (BMI) between 18 to 28 kg/m2
Exclusion criteria
- History of cardiac, hepatic, renal, or metabolic disorders (e.g., diabetes, hypertension, sleep apnea)
- Known allergy to opioids or ciprofloxacin components
- Cachexia
- History of substance or alcohol abuse
- ASA class III or higher
- Participation in any other drug clinical trial within the past 3 months
- Long-term use of sedative or analgesic medications
- History of neurological disorders and convulsions
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Double blind
- Primary purpose
- Treatment
Study locations
China · 8 centers
- Fujian Provincial Hospital — Fuzhou
- Jinjiang Municipal Hospital (Shanghai Sixth People's Hospital Fujian) — Jinjiang
- Shishi Hospital — Quanzhou
- Peking University Shenzhen Hospital — Shenzhen
- Zhengzhou Central Hospital Affiliated to Zhengzhou University — Zhengzhou
- Sichuan Provincial People's Hospital — Chengdu
- The First Affiliated Hospital of Army Medical University — Chongqing
- The People's Hospital of Yubei District of Chongqing city — Chongqing
Identifiers
NCT: NCT07132151 · SZUS2025002