[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100584002":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":15,"centralContacts":20,"locations":25,"responsibleParty":41,"collaborators":10,"id":43,"slug":44,"hasResults":45,"nctId":46,"briefTitle":47,"officialTitle":48,"acronym":10,"eligibilityCriteria":49,"healthyVolunteers":50,"sex":51,"minAge":52,"maxAge":53,"enrollmentInfo":54,"targetDuration":10,"studyType":57,"phases":10,"briefSummary":58,"conditions":59,"keywords":62,"overallStatus":27,"whyStopped":10,"lastUpdateSubmitDate":69,"lastUpdatePostDateStruct":70,"startDateStruct":73,"completionDateStruct":75,"leadSponsor":77,"locationsCount":78},{"fullName":5,"class":6},"West China Hospital","OTHER",[8,12],{"label":9,"type":10,"description":11,"interventionNames":10},"Research Subjects-for AI system establishment",null,"Collect ultrasound images of wrist and hand joints, annotate and segment them frame - by - frame for model training.",{"label":13,"type":10,"description":14,"interventionNames":10},"Research Subjects-for AI system validation","Recruit sonographers untrained in musculoskeletal ultrasound, train them in wrist and hand joint scans, and compare their scanning speed and image quality when using and not using the AI system.",[16],{"name":17,"affiliation":18,"role":19},"Xinyi Tang","Department of Medical Ultrasound, West China Hospital, Sichuan University","PRINCIPAL_INVESTIGATOR",[21],{"name":17,"role":22,"phone":23,"phoneExt":10,"email":24},"CONTACT","+8615680819215","tangxinyi1996@outlook.com",[26],{"facility":17,"status":27,"city":28,"state":29,"zip":10,"country":30,"countryCode":31,"cosmosGeoPoint":32,"geoPoint":37,"contacts":38},"RECRUITING","Chengdu","Sichuan","China","CN",{"type":33,"coordinates":34},"Point",[35,36],104.06667,30.66667,{"lat":36,"lon":35},[39],{"name":40,"role":22,"phone":23,"phoneExt":10,"email":10},"Xinyi Tang, Dr.",{"type":19,"investigatorFullName":17,"investigatorTitle":42,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Principal Investigator","100584002","the-application-of-artificial-intelligence-in-wrist-and-hand-joint-ultrasound-100584002",false,"NCT06883669","The Application of Artificial Intelligence in Wrist and Hand Joint Ultrasound","Establishment of an Artificial Intelligence Recognition System for Wrist and Hand Joint Ultrasound Images\u002FVideos and Its Assistance to Untrained Sonographers","(1) Research Subjects-for AI system establishment\n\nInclusion Criteria:\n\n1. Healthy volunteers with good compliance\n2. No history of disease on peripheral nerve, muscle, or tendons;\n3. No early - stage RA or history of RA.\n\nExclusion Criteria:\n\n1\\. Amputees or those with limb disabilities.\n\nIndividuals with poor compliance.\n\n(2) Research Subjects-for AI system validation\n\nInclusion Criteria:\n\n1\\. Sonographers with at least 2 years of ultrasound scanning experience\n\nExclusion Criteria:\n\n1\\. Those who have performed musculoskeletal ultrasound scanning or received related training",true,"ALL","18 Years","100 Years",{"count":55,"type":56},500,"ESTIMATED","OBSERVATIONAL","1. To develop an AI system that can automatically identify standard sections and save images during wrist and hand joint ultrasound scans, while labeling key anatomical structures.\n2. To recruit sonographers untrained in musculoskeletal ultrasound, train them in wrist and hand joint scans, and compare their scanning speed and image quality when using and not using the AI system.",[60,61],"Education","Joint Diseases",[63,64,65,66,67,68],"ultrasound","hand","medical education","artificial intelligence","deep learning","wrist","2025-03-31",{"date":71,"type":72},"2025-04-04","ACTUAL",{"date":74,"type":72},"2021-01-01",{"date":76,"type":56},"2025-06-01",{"name":5,"class":6},1]