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

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.

NCT Number	NCT07171502
Lead Sponsor	Shanghai Jiao Tong University Affiliated Sixth People's Hospital
Conditions	AI (Artificial Intelligence), Ultrasound-Guided Nerve Blocks
Enrollment	1,000 participants
Start Date	2025-09-30
Primary Completion	2025-12-30 (estimated)
Study Completion	2025-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-01-06