[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100591441":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":12,"centralContacts":24,"locations":30,"responsibleParty":60,"collaborators":12,"id":64,"slug":65,"hasResults":66,"nctId":67,"briefTitle":68,"officialTitle":69,"acronym":12,"eligibilityCriteria":70,"healthyVolunteers":71,"sex":72,"minAge":73,"maxAge":74,"enrollmentInfo":75,"targetDuration":12,"studyType":78,"phases":79,"briefSummary":81,"conditions":82,"keywords":12,"overallStatus":84,"whyStopped":12,"lastUpdateSubmitDate":85,"lastUpdatePostDateStruct":86,"startDateStruct":89,"completionDateStruct":91,"leadSponsor":93,"locationsCount":94},{"fullName":5,"class":6},"Tsinghua University","OTHER",[8,13],{"label":9,"type":10,"description":11,"interventionNames":12},"control group","NO_INTERVENTION","Participants evaluate clinical recommendations generated by Language Model A (LLM-A), with subsequent assessments of communication style characteristics using rating scales.",null,{"label":14,"type":15,"description":16,"interventionNames":17},"intervention group","EXPERIMENTAL","Participants evaluate clinical recommendations generated by Language Model B (LLM-B), followed by evaluations of communication style characteristics through metric instruments.",[18],"Other: Large Language Model",[20],{"type":6,"name":21,"description":22,"armGroupLabels":23,"otherNames":12},"Large Language Model","An artificial intelligence system generating clinical recommendations using prompts, designed to simulate clinical advisory outputs. The protocol focuses on structured medical language generation.",[14],[25],{"name":26,"role":27,"phone":28,"phoneExt":12,"email":29},"Yixiao Jin","CONTACT","+86 17721026692","jin-yx24@mails.tsinghua.edu.cn",[31,45],{"facility":5,"status":12,"city":32,"state":33,"zip":34,"country":35,"countryCode":36,"cosmosGeoPoint":37,"geoPoint":42,"contacts":43},"Beijing","Beijing Municipality","100084","China","CN",{"type":38,"coordinates":39},"Point",[40,41],116.39723,39.9075,{"lat":41,"lon":40},[44],{"name":26,"role":27,"phone":28,"phoneExt":12,"email":29},{"facility":46,"status":12,"city":47,"state":48,"zip":49,"country":35,"countryCode":36,"cosmosGeoPoint":50,"geoPoint":54,"contacts":55},"Shanghai Health and Medical Center","Wuxi","Jiangsu","214065",{"type":38,"coordinates":51},[52,53],120.28857,31.56887,{"lat":53,"lon":52},[56],{"name":57,"role":27,"phone":58,"phoneExt":12,"email":59},"Jing Gu","86+(510)82335104","g950324@163.com",{"type":61,"investigatorFullName":62,"investigatorTitle":63,"investigatorAffiliation":5,"oldNameTitle":12,"oldOrganization":12},"PRINCIPAL_INVESTIGATOR","Tien Yin Wong","Vice-Provost and Senior Vice-Chancellor","100591441","evaluation-of-ai-generated-clinical-advice-by-physicians-100591441",false,"NCT06980467","Evaluation of AI-Generated Clinical Advice by Physicians","A Study on the Evaluation of Artificial Intelligence-Generated Clinical Advisory Outputs in Medical Professional Contexts","Inclusion Criteria:\n\n* Age ≥ 18 years old;\n* Licensed physician or medical professional qualified to perform clinical evaluations;\n* Willing to sign informed consent and commit time to participate in the study.\n\nExclusion Criteria:\n\n* Unable to dedicate sufficient time to complete the study tasks;\n* Unable or unwilling to understand and follow study instructions.",true,"ALL","18 Years","80 Years",{"count":76,"type":77},8,"ESTIMATED","INTERVENTIONAL",[80],"NA","This study examines how artificial intelligence systems interact with medical professionals. Researchers will compare physician responses to different AI-generated outputs in simulative medical scenarios.",[83],"Artificial Intelligence (AI)","NOT_YET_RECRUITING","2025-05-12",{"date":87,"type":88},"2025-05-20","ACTUAL",{"date":90,"type":77},"2025-05-15",{"date":92,"type":77},"2025-05-23",{"name":5,"class":6},2]