Reinforcement Learned Automated Anesthesia Systems During Painless Abortion

Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexFemale
Age18-45
SponsorBoston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.

About this trial

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.

Eligibility criteria

Qualifiers

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

Disqualifiers

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

Trial design

Treatments tested in this trial

  • AI Controlled General Anesthesia
  • General Anesthesia

Treatment groups

167 Participants
are divided into 2 treatment groups

Sponsors and collaborators

Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.

Lead sponsor

Fujian Provincial Hospital

Collaborator

Shishi Hospital

Collaborator

Sichuan Provincial People's Hospital

Collaborator

First Affiliated Hospital of the Chinese People's Liberation Army Naval Medical University

Collaborator

The People's Hospital of Yubei District of Chongqing city

Collaborator

Peking University Shenzhen Hospital

Collaborator

People's Hospital of Zhengzhou University

Collaborator

Jinjiang Municipal Hospital (Shanghai Sixth People's Hospital Fujian)

Collaborator