Agreement Between Artificial Intelligence and Anesthesiologists in Ultrasound-Guided Axillary Brachial Plexus Block
NCT07532278 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 100
Last updated 2026-04-15
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.
Conditions
- Ultrasound-Guided Nerve Block and Artificial Intelligence
Interventions
- PROCEDURE
-
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.
Sponsors & Collaborators
-
Gaziantep City Hospital
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-04-15
- Primary Completion
- 2026-07-15
- Completion
- 2026-07-15
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