[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100591441":3},{"organization":4,"outcomesModule":7,"designInfo":18,"detailedDescription":17,"studyPopulation":17,"armGroups":25,"interventions":36,"overallOfficials":17,"centralContacts":41,"locations":47,"responsibleParty":77,"collaborators":17,"id":81,"slug":17,"hasResults":82,"nctId":83,"briefTitle":84,"officialTitle":85,"acronym":17,"eligibilityCriteria":86,"healthyVolunteers":87,"sex":88,"minAge":89,"maxAge":90,"enrollmentInfo":91,"targetDuration":17,"studyType":94,"phases":95,"briefSummary":97,"conditions":98,"keywords":17,"overallStatus":100,"whyStopped":17,"lastUpdateSubmitDate":101,"lastUpdatePostDateStruct":102,"startDateStruct":105,"completionDateStruct":107,"leadSponsor":109,"locationsCount":110},{"fullName":5,"class":6},"Tsinghua University","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":13,"otherOutcomes":17},[9],{"measure":10,"description":11,"timeFrame":12},"Physician Response to AI-Generated Medical Content","Participants will rate their level of agreement with AI-generated clinical suggestions presented in simulated medical scenarios. Responses will be recorded using a standardized rating scale (range 1-5, where higher scores indicate better agreement).","Through study completion, an average of 1 week",[14],{"measure":15,"description":16,"timeFrame":12},"Physician Perception of Communication Quality in AI-Generated Content","Participants will assess the communication style of AI-generated content, focusing on factors such as empathy. Ratings will be collected using a standardized 5-point scale (range 1-5, where higher scores reflect higher perceived quality).",null,{"allocation":19,"interventionModel":20,"interventionModelDescription":17,"primaryPurpose":6,"observationalModel":17,"timePerspective":17,"maskingInfo":21},"RANDOMIZED","CROSSOVER",{"masking":22,"maskingDescription":17,"whoMasked":23},"SINGLE",[24],"PARTICIPANT",[26,30],{"label":27,"type":28,"description":29,"interventionNames":17},"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.",{"label":31,"type":32,"description":33,"interventionNames":34},"intervention group","EXPERIMENTAL","Participants evaluate clinical recommendations generated by Language Model B (LLM-B), followed by evaluations of communication style characteristics through metric instruments.",[35],"Other: Large Language Model",[37],{"type":6,"name":38,"description":39,"armGroupLabels":40,"otherNames":17},"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.",[31],[42],{"name":43,"role":44,"phone":45,"phoneExt":17,"email":46},"Yixiao Jin","CONTACT","+86 17721026692","jin-yx24@mails.tsinghua.edu.cn",[48,62],{"facility":5,"status":17,"city":49,"state":50,"zip":51,"country":52,"countryCode":53,"cosmosGeoPoint":54,"geoPoint":59,"contacts":60},"Beijing","Beijing Municipality","100084","China","CN",{"type":55,"coordinates":56},"Point",[57,58],116.39723,39.9075,{"lat":58,"lon":57},[61],{"name":43,"role":44,"phone":45,"phoneExt":17,"email":46},{"facility":63,"status":17,"city":64,"state":65,"zip":66,"country":52,"countryCode":53,"cosmosGeoPoint":67,"geoPoint":71,"contacts":72},"Shanghai Health and Medical Center","Wuxi","Jiangsu","214065",{"type":55,"coordinates":68},[69,70],120.28857,31.56887,{"lat":70,"lon":69},[73],{"name":74,"role":44,"phone":75,"phoneExt":17,"email":76},"Jing Gu","86+(510)82335104","g950324@163.com",{"type":78,"investigatorFullName":79,"investigatorTitle":80,"investigatorAffiliation":5,"oldNameTitle":17,"oldOrganization":17},"PRINCIPAL_INVESTIGATOR","Tien Yin Wong","Vice-Provost and Senior Vice-Chancellor","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":92,"type":93},8,"ESTIMATED","INTERVENTIONAL",[96],"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.",[99],"Artificial Intelligence (AI)","NOT_YET_RECRUITING","2025-05-12",{"date":103,"type":104},"2025-05-20","ACTUAL",{"date":106,"type":93},"2025-05-15",{"date":108,"type":93},"2025-05-23",{"name":5,"class":6},2]