[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100613042":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":7,"centralContacts":15,"locations":21,"responsibleParty":38,"collaborators":7,"id":42,"slug":43,"hasResults":44,"nctId":45,"briefTitle":46,"officialTitle":47,"acronym":7,"eligibilityCriteria":48,"healthyVolunteers":44,"sex":49,"minAge":50,"maxAge":51,"enrollmentInfo":52,"targetDuration":55,"studyType":56,"phases":7,"briefSummary":57,"conditions":58,"keywords":60,"overallStatus":24,"whyStopped":7,"lastUpdateSubmitDate":62,"lastUpdatePostDateStruct":63,"startDateStruct":66,"completionDateStruct":68,"leadSponsor":70,"locationsCount":71},{"fullName":5,"class":6},"Kanuni Sultan Suleyman Training and Research Hospital","OTHER",null,[9,12],{"type":6,"name":10,"description":11,"armGroupLabels":7,"otherNames":7},"Gemini 2.5 Pro Evaluation","Analysis of de-identified ultrasound videos by the Gemini 2.5 Pro artificial intelligence model. The model receives standardized prompts and provides anatomical interpretation, block success assessment, and clinical suggestion outputs.",{"type":6,"name":13,"description":14,"armGroupLabels":7,"otherNames":7},"ChatGPT-5.1 Evaluation","Analysis of de-identified ultrasound videos by the ChatGPT-5.1 artificial intelligence model. The model receives the same standardized questions and produces anatomical and clinical interpretations for comparison.",[16],{"name":17,"role":18,"phone":19,"phoneExt":7,"email":20},"Engin ihsan Turan, principal investigator","CONTACT","+905382431114","enginihsan@hotmail.com",[22],{"facility":23,"status":24,"city":25,"state":25,"zip":26,"country":27,"countryCode":7,"cosmosGeoPoint":28,"geoPoint":33,"contacts":34},"Health Science University İstanbul Kanuni Sultan Süleyman Education and Training Hospital","RECRUITING","Istanbul","34303","Turkey (Türkiye)",{"type":29,"coordinates":30},"Point",[31,32],28.94966,41.01384,{"lat":32,"lon":31},[35],{"name":36,"role":18,"phone":37,"phoneExt":7,"email":20},"Engin ihsan Turan","05382431114",{"type":39,"investigatorFullName":40,"investigatorTitle":41,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"PRINCIPAL_INVESTIGATOR","Engin Ihsan Turan","principal investigator","100613042","performance-comparison-of-large-language-models-in-tap-block-ultrasound-interpretation-100613042",false,"NCT07261436","Performance Comparison of Large Language Models in TAP Block Ultrasound Interpretation","Performance Comparison of Large Language Models in TAP Block Ultrasound Interpretation: A Double-Blind Prospective Study","Inclusion Criteria:\n\n* Adults aged 18-85 years\n* ASA I-III physical status\n* Undergoing elective surgery with a lateral TAP block performed as part of routine anesthesia care\n* Complete ultrasound-guided block procedure recorded on video\n* Able to provide written informed consent\n\nExclusion Criteria:\n\n* Unsuccessful or incomplete TAP block procedure\n* Poor-quality ultrasound video (needle tip or anesthetic spread not visible)\n* Missing demographic or clinical data\n* Withdrawal of consent at any time","ALL","18 Years","85 Years",{"count":53,"type":54},40,"ESTIMATED","1 Day","OBSERVATIONAL","The goal of this study is to learn how accurately two artificial intelligence (AI) models, Gemini 2.5 Pro and ChatGPT-5.1, can interpret ultrasound videos of the Transversus Abdominis Plane (TAP) block, a regional anesthesia technique used for pain control after surgery.\n\nThe main questions this study aims to answer are:\n\nHow accurately can each AI model identify anatomical structures on TAP block ultrasound videos? Can the AI models correctly evaluate the spread of local anesthetic and determine whether the block is successful? How closely do the AI models' answers match the evaluations of expert anesthesiologists? No additional procedures will be performed on patients. TAP blocks will be done as part of routine clinical care, and the ultrasound videos will be recorded and de-identified.\n\nParticipants will not need to do anything extra for the study. Experienced anesthesiologists will review the videos and provide expert answers. The AI models will be given the same videos and asked the same questions. A second expert, who does not know which answers came from humans or AI, will compare all responses.\n\nThe results will help researchers understand whether advanced AI systems can safely support clinicians in interpreting ultrasound-guided regional anesthesia procedures and improve education and decision-making in anesthesia practice.",[59],"Artificial Intelegence",[61],"artificial intelligence","2026-02-02",{"date":64,"type":65},"2026-02-04","ACTUAL",{"date":67,"type":65},"2026-01-15",{"date":69,"type":54},"2026-05-01",{"name":5,"class":6},1]