[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100590054":3},{"organization":4,"outcomesModule":7,"designInfo":27,"detailedDescription":34,"studyPopulation":26,"armGroups":35,"interventions":46,"overallOfficials":51,"centralContacts":55,"locations":65,"responsibleParty":80,"collaborators":26,"id":82,"slug":26,"hasResults":83,"nctId":84,"briefTitle":85,"officialTitle":86,"acronym":26,"eligibilityCriteria":87,"healthyVolunteers":88,"sex":89,"minAge":90,"maxAge":26,"enrollmentInfo":91,"targetDuration":26,"studyType":94,"phases":95,"briefSummary":97,"conditions":98,"keywords":26,"overallStatus":101,"whyStopped":26,"lastUpdateSubmitDate":102,"lastUpdatePostDateStruct":103,"startDateStruct":106,"completionDateStruct":108,"leadSponsor":110,"locationsCount":111},{"fullName":5,"class":6},"Tsinghua University","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":13,"otherOutcomes":26},[9],{"measure":10,"description":11,"timeFrame":12},"Research quality evaluation scale","Independent senior experts will evaluate the research reports from the Intervention Group and the Control Group using a standardized 100-point Research Quality Evaluation Scale. A higher score indicates better research quality.","Through study completion, an average of 1 week",[14,17,20,23],{"measure":15,"description":16,"timeFrame":12},"Model performance","The diagnostic accuracy, sensitivity, specificity, and area under the receiver-operating characteristic curve (AUC-ROC) will be reported to compare the performance of models generated by the Intervention Group and the Control Group.",{"measure":18,"description":19,"timeFrame":12},"Research time cost","The time spent by the Intervention Group and the Control Group to complete tasks will be compared.",{"measure":21,"description":22,"timeFrame":12},"User evaluation","User evaluation on the study will be assessed by Likert Scales.",{"measure":24,"description":25,"timeFrame":12},"Model resource consumption","GPU usage rate and time and model size will be tracked and compared to evaluate the computational resource consumption of the Intervention Group and Control Group.",null,{"allocation":28,"interventionModel":29,"interventionModelDescription":26,"primaryPurpose":6,"observationalModel":26,"timePerspective":26,"maskingInfo":30},"RANDOMIZED","PARALLEL",{"masking":31,"maskingDescription":26,"whoMasked":32},"SINGLE",[33],"OUTCOMES_ASSESSOR","It i a randomized-controlled study. Participants will be randomly assigned to the Intervention Group using our AI system and the Control Group. Both groups will perform the same biomedical research tasks and submit reports. At the end of the study, the research performance of the two groups will be evaluated.",[36,40],{"label":37,"type":38,"description":39,"interventionNames":26},"Control group","NO_INTERVENTION","Participants will complete the research task without our AI system.",{"label":41,"type":42,"description":43,"interventionNames":44},"Intervention group","EXPERIMENTAL","Participants will complete the research task with AI system developed by our team.",[45],"Other: AI system",[47],{"type":6,"name":48,"description":49,"armGroupLabels":50,"otherNames":26},"AI system","Participants will complete the research task with the AI system developed by out team to perform automated biomedical research.",[41],[52],{"name":53,"affiliation":5,"role":54},"Tien Yin Wong","PRINCIPAL_INVESTIGATOR",[56,61],{"name":57,"role":58,"phone":59,"phoneExt":26,"email":60},"Junxian Hong","CONTACT","+86 18800129260","hongjx17@mails.tsinghua.edu.cn",{"name":62,"role":58,"phone":63,"phoneExt":26,"email":64},"Wenquan Cheng","+86 15385706612","chengwq24@mails.tsinghua.edu.cn",[66],{"facility":5,"status":26,"city":67,"state":68,"zip":69,"country":70,"countryCode":71,"cosmosGeoPoint":72,"geoPoint":77,"contacts":78},"Beijing","Beijing Municipality","100084","China","CN",{"type":73,"coordinates":74},"Point",[75,76],116.39723,39.9075,{"lat":76,"lon":75},[79],{"name":57,"role":58,"phone":59,"phoneExt":26,"email":60},{"type":54,"investigatorFullName":53,"investigatorTitle":81,"investigatorAffiliation":5,"oldNameTitle":26,"oldOrganization":26},"Vice-Provost and Senior Vice-Chancellor, Tsinghua Medicine","100590054",false,"NCT06962423","AI-driven Automated Biomedical Research","A Study on Artificial Intelligence-based Automated Biomedical Research","Inclusion Criteria:\n\n* (1) Age ≥ 18 years old;\n* (2) Agree to sign consent form and invest time in this study;\n* (3) Able to understand and complete research tasks.\n\nExclusion Criteria:\n\n* (1) Currently participating in other projects that may interfere with this research and unable to ensure participation time;\n* (2) Have a history of major diseases or poor physical condition in the past three months that may affect research participation;\n* (3) Unwilling or unable to understand and complete the research tasks.",true,"ALL","18 Years",{"count":92,"type":93},40,"ESTIMATED","INTERVENTIONAL",[96],"NA","This study will evaluate the effects of the AI system developed by our team on biomedical research.",[99,100],"Biomedical Research","Artificial Intelligence (AI)","NOT_YET_RECRUITING","2025-04-29",{"date":104,"type":105},"2025-05-08","ACTUAL",{"date":107,"type":93},"2025-05-15",{"date":109,"type":93},"2026-05-15",{"name":5,"class":6},1]