Artificial Intelligence Empowered Anesthesia Ultrasound Guided Regional Anesthesia Training

NCT ID: NCT06546904

Last Updated: 2024-08-09

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

40 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-09-01

Study Completion Date

2026-10-31

Brief Summary

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

Detailed Description

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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.

Conditions

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Ultrasound-guided Regional Anesthesia

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

Primary Study Purpose

OTHER

Blinding Strategy

SINGLE

Outcome Assessors

Study Groups

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AI group

Group AI used artificial intelligence to empower anesthesia ultrasound assisted simulated PNB operations in 5 areas

Group Type EXPERIMENTAL

Artificial intelligence empowers anesthesia with ultrasound assistance

Intervention Type DEVICE

Artificial intelligence empowers anesthesia with ultrasound assistance

Control group

Control group did not use AI assisted simulated PNB operations in 5 areas

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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Artificial intelligence empowers anesthesia with ultrasound assistance

Artificial intelligence empowers anesthesia with ultrasound assistance

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Voluntary participants;
* Sign the informed consent form.

Exclusion Criteria

* allergic to ultrasound coupling agents
Minimum Eligible Age

18 Years

Maximum Eligible Age

45 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Tongji Hospital

OTHER

Sponsor Role lead

Responsible Party

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aijun xu

Clinical Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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mujun Chang, Dr.

Role: STUDY_CHAIR

Tongji Hospital

Locations

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Tongji hospital

Wuhan, Hubei, China

Site Status

Countries

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China

Central Contacts

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aijun Xu, Dr.

Role: CONTACT

02783663625

aihua Du, Dr.

Role: CONTACT

02783663625

Other Identifiers

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AISR

Identifier Type: -

Identifier Source: org_study_id

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