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Reinforcement Learned Automated Anesthesia Systems During Painless Abortion

NCT07132151 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 167

Last updated 2025-08-20

No results posted yet for this study

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.

Conditions

  • Painless Abortion
  • Artificial Intelligence (AI)
  • Ciprofol

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.

Sponsors & Collaborators

  • Fujian Provincial Hospital

    collaborator OTHER

  • Shishi Hospital

    collaborator UNKNOWN

  • Sichuan Provincial People's Hospital

    collaborator OTHER

  • The First Affiliated Hospital of Army Medical University

    collaborator UNKNOWN

  • The People's Hospital of Yubei District of Chongqing city

    collaborator UNKNOWN

  • Peking University Shenzhen Hospital

    collaborator OTHER

  • People's Hospital of Zhengzhou University

    collaborator OTHER

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

    collaborator UNKNOWN

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

    lead INDUSTRY

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
45 Years
Sex
FEMALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-09-08
Primary Completion
2025-10-08
Completion
2027-11-08

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07132151 on ClinicalTrials.gov