[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"ultrasound-guided-nerve-block-and-artificial-intelligence\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:ultrasound-guided-nerve-block-and-artificial-intelligence":25},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":18,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":26,"overallStatus":33,"whyStopped":4,"lastUpdateSubmitDate":34,"lastUpdatePostDateStruct":35,"startDateStruct":38,"completionDateStruct":39,"leadSponsor":41,"locationsCount":4},"100633868","agreement-between-artificial-intelligence-and-anesthesiologists-in-ultrasound-guided-axillary-brachial-plexus-block-100633868",false,"NCT07532278","Agreement Between Artificial Intelligence and Anesthesiologists in Ultrasound-Guided Axillary Brachial Plexus Block","Evaluation of Agreement Between Artificial Intelligence and Experienced Anesthesiologists in Target Point Identification for Ultrasound-Guided Axillary Brachial Plexus Block: A Prospective Observational Study","Inclusion Criteria:\n\n* Age between 18 and 80 years\n* American Society of Anesthesiologists (ASA) physical status I-III\n* Patients scheduled for upper extremity surgery under ultrasound-guided axillary brachial plexus block as part of routine clinical practice\n* Ability to obtain adequate real-time ultrasound imaging of the axillary region prior to block performance\n* Provision of written informed consent\n\nExclusion Criteria:\n\n* Inability to clearly visualize the axillary artery and at least one peripheral nerve (median, ulnar, radial, or musculocutaneous) on ultrasound imaging\n* Presence of significant ultrasound artifacts impairing image interpretation\n* History of previous surgery in the axillary region causing anatomical distortion\n* Anatomical deformities or significant anatomical variations in the axillary region\n* Inadequate ultrasound image quality due to severe obesity or other technical limitations\n* Failure to obtain real-time ultrasound imaging prior to block performance\n* Withdrawal of informed consent","ALL","18 Years","80 Years",{"count":20,"type":21},100,"ESTIMATED","OBSERVATIONAL","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.\n\nUltrasound 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.\n\nIn 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.\n\nThe findings of this study may contribute to understanding the clinical utility of AI in ultrasound-guided regional anesthesia.",[25],"Ultrasound-Guided Nerve Block and Artificial Intelligence",[27,28,29,30,31,32],"Ultrasound-Guided Regional Anesthesia","Axillary Brachial Plexus Block","Artificial Intelligence","Ultrasound Imaging","Anatomical Structure Recognition","Agreement Analysis","NOT_YET_RECRUITING","2026-04-09",{"date":36,"type":37},"2026-04-15","ACTUAL",{"date":36,"type":21},{"date":40,"type":21},"2026-07-15",{"name":42,"class":43},"Gaziantep City Hospital","OTHER"]