Artificial Intelligence Empowered Anesthesia Ultrasound Guided Regional Anesthesia Training

August 6, 2024 updated by: aijun xu, Tongji Hospital

Evaluation of the Effectiveness of Artificial Intelligence Empowered Ultrasound in Regional Anesthesia Training

Evaluate the effectiveness of AI powered anesthesia ultrasound in ultrasound-guided regional anesthesia (UGRA) training.

Study Overview

Detailed Description

The AI powered anesthesia ultrasound system integrates ScanNav and NeedleTrainer modules, providing real-time training for medical staff to simulate punctures. Combined with ScanNav's real-time anatomical structure recognition function, it is expected to significantly enhance the training effectiveness of ultrasound-guided regional anesthesia technology.

Study Type

Interventional

Enrollment (Estimated)

40

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Hubei
      • Wuhan, Hubei, China, 430030
        • Tongji Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Voluntary participants;
  • Sign the informed consent form.

Exclusion Criteria:

  • allergic to ultrasound coupling agents

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Crossover Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: AI group
Group AI used artificial intelligence to empower anesthesia ultrasound assisted simulated PNB operations in 5 areas
Artificial intelligence empowers anesthesia with ultrasound assistance
No Intervention: Control group
Control group did not use AI assisted simulated PNB operations in 5 areas

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Success rate of ultrasound-guided puncture
Time Frame: 1day
Success rate of ultrasound-guided puncture at the first attempt
1day

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Location time
Time Frame: 1day
the time from the placement of the US transducer on the skin to the time of piercing of the skin.
1day

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Study Chair: mujun Chang, Dr., Tongji Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

September 1, 2024

Primary Completion (Estimated)

August 31, 2026

Study Completion (Estimated)

October 31, 2026

Study Registration Dates

First Submitted

August 3, 2024

First Submitted That Met QC Criteria

August 6, 2024

First Posted (Actual)

August 9, 2024

Study Record Updates

Last Update Posted (Actual)

August 9, 2024

Last Update Submitted That Met QC Criteria

August 6, 2024

Last Verified

August 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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