NCT07171502

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

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 1,000 (actual)
• Sponsor: Shanghai Jiao Tong University Affiliated Sixth People's Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 70 Years
• Healthy volunteers: Not accepted

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

Type	Name	Description
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.

Timeline

• Start date: 2025-09-30
• Primary completion: 2025-12-30
• Completion: 2025-12-31
• First posted: 2025-09-12
• Last updated: 2026-01-06

Locations

1 site across 1 country: China