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AI-Assisted Ultrasound-Guided Nerve Block: Model Development and Performance Assessment

NCT07171502 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1000

Last updated 2026-01-06

No results posted yet for this study

Summary

This study intends to have experts with over 10 years of experience in ultrasound-guided regional anesthesia acquire 1,000 target images. These images will be annotated by both an AI model and human experts, and the model's annotations will be evaluated by a panel of 10 specialists. The primary outcome is the accuracy of identifying the target anatomical structures in the annotated images. Secondary outcomes include the number of true positive, false positive, true negative, and false negative structures, the time required for annotation, and the potential application of the AI model in assisting the performance of ultrasound-guided regional blocks.

Conditions

  • AI (Artificial Intelligence)
  • Ultrasound-Guided Nerve Blocks

Interventions

DEVICE

AI Annotation

Use the AI model to assist in annotating the target images.

OTHER

manual annotation

Use the manual to annotate the target images.

Sponsors & Collaborators

  • Shanghai Jiao Tong University Affiliated Sixth People's Hospital

    lead OTHER

Study Design

Allocation
NON_RANDOMIZED
Purpose
OTHER
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-09-30
Primary Completion
2025-12-30
Completion
2025-12-31

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 NCT07171502 on ClinicalTrials.gov