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Agreement Between Artificial Intelligence and Anesthesiologists in Ultrasound-Guided Axillary Brachial Plexus Block
Sponsor: Gaziantep City Hospital
Summary
This prospective observational study aims to evaluate the agreement between artificial intelligence (AI)-assisted target point identification and experienced anesthesiologists during ultrasound-guided axillary brachial plexus block. Ultrasound guidance is widely used in regional anesthesia to improve block success and safety. However, accurate identification of anatomical structures and optimal injection points remains operator-dependent. Artificial intelligence-based systems have the potential to assist clinicians by identifying anatomical landmarks in real time. In this study, AI-generated target points will be compared with those determined by experienced anesthesiologists. The level of agreement between the two methods will be analyzed. Secondary outcomes will include block performance parameters and image quality. The findings of this study may contribute to understanding the clinical utility of AI in ultrasound-guided regional anesthesia.
Official title: Evaluation of Agreement Between Artificial Intelligence and Experienced Anesthesiologists in Target Point Identification for Ultrasound-Guided Axillary Brachial Plexus Block: A Prospective Observational Study
Key Details
Gender
All
Age Range
18 Years - 80 Years
Study Type
OBSERVATIONAL
Enrollment
100
Start Date
2026-04-15
Completion Date
2026-07-15
Last Updated
2026-04-15
Healthy Volunteers
No
Interventions
Ultrasound-Guided Axillary Brachial Plexus Block (Routine Clinical Practice)
Ultrasound-guided axillary brachial plexus block performed as part of routine clinical care. No additional intervention is introduced for the purposes of the study. Real-time ultrasound images obtained during the procedure will be analyzed by an artificial intelligence system and experienced anesthesiologists.