[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100631836":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":7,"centralContacts":8,"locations":14,"responsibleParty":30,"collaborators":7,"id":34,"slug":35,"hasResults":36,"nctId":37,"briefTitle":38,"officialTitle":39,"acronym":7,"eligibilityCriteria":40,"healthyVolunteers":41,"sex":42,"minAge":43,"maxAge":44,"enrollmentInfo":45,"targetDuration":7,"studyType":48,"phases":7,"briefSummary":49,"conditions":50,"keywords":7,"overallStatus":16,"whyStopped":7,"lastUpdateSubmitDate":52,"lastUpdatePostDateStruct":53,"startDateStruct":56,"completionDateStruct":58,"leadSponsor":60,"locationsCount":61},{"fullName":5,"class":6},"Guangdong Provincial People's Hospital","OTHER",null,[9],{"name":10,"role":11,"phone":12,"phoneExt":7,"email":13},"Zhuoyi Chen MD","CONTACT","+86 18737552662","18737552662@163.com",[15],{"facility":5,"status":16,"city":17,"state":18,"zip":7,"country":19,"countryCode":20,"cosmosGeoPoint":21,"geoPoint":26,"contacts":27},"RECRUITING","Guangzhou","Guangdong","China","CN",{"type":22,"coordinates":23},"Point",[24,25],113.25,23.11667,{"lat":25,"lon":24},[28],{"name":29,"role":11,"phone":12,"phoneExt":7,"email":13},"ZhuoYi Chen MD",{"type":31,"investigatorFullName":32,"investigatorTitle":33,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"PRINCIPAL_INVESTIGATOR","Xiong hao","MD, PhD","100631836","scientific-validity-assessment-and-optimization-of-ai-generated-a3a4-type-questions-for-the-chinese-medical-licensing-examination-100631836",false,"NCT07505862","Scientific Validity Assessment and Optimization of AI-Generated A3\u002FA4 Type Questions for the Chinese Medical Licensing Examination","Scientific Validity Assessment and Optimization of AI-Generated A3\u002FA4 Type Questions for the Chinese Medical Licensing Examination: An Empirical Analysis Based on the \"Answering-Generating\" Closed Loop and Transformation of Competency Assessment","Inclusion Criteria:\n\n* 1.Professional Status: Medical students currently enrolled in a Standardized Residency Training (SRT) program.\n\n  2.Educational Background: Holders of a Bachelor of Medicine degree or higher, with foundational clinical knowledge.\n\n  3.Informed Consent: Voluntarily participate in the study and provide written informed consent.\n\n  4.Technical Competency: Proficient in using digital platforms to complete assessments and scoring.\n\nExclusion Criteria:\n\n* 1.Conflict of Interest: Individuals involved in the AI model training, prompt engineering, or the creation of the human-authored question bank for this study.\n\n  2.Inability to Complete: Presence of visual\u002Fauditory impairments or severe illness that precludes completion of the assessment within the specified time.\n\n  3.Investigator's Discretion: Any other condition that, in the opinion of the investigator, renders the participant unsuitable for the study.",true,"ALL","18 Years","60 Years",{"count":46,"type":47},20,"ESTIMATED","OBSERVATIONAL","This is a cross-sectional study that primarily employs quantitative analysis, supplemented by qualitative assessment. The research is conducted in two stages: Phase I consists of a model performance comparison experiment, and Phase II involves an item quality evaluation experiment. The entire study adheres to the principles of single-blinding, randomization, and standardization to ensure scientific rigor and reproducibility.\n\nThe single-blind design is implemented during the \"standardized testing\" phase, where the system intersperses AI-generated items with those authored by human experts. Participants remain blinded to the source of each item (AI-generated vs. human-authored) throughout the testing and scoring processes, thereby ensuring the objectivity of the evaluation results.",[51],"AI (Artificial Intelligence)","2026-03-29",{"date":54,"type":55},"2026-04-01","ACTUAL",{"date":57,"type":55},"2025-10-01",{"date":59,"type":47},"2026-03-30",{"name":5,"class":6},1]