[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100640308":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":28,"centralContacts":32,"locations":24,"responsibleParty":37,"collaborators":24,"id":40,"slug":41,"hasResults":42,"nctId":43,"briefTitle":44,"officialTitle":45,"acronym":24,"eligibilityCriteria":46,"healthyVolunteers":47,"sex":48,"minAge":24,"maxAge":24,"enrollmentInfo":49,"targetDuration":24,"studyType":52,"phases":53,"briefSummary":55,"conditions":56,"keywords":60,"overallStatus":65,"whyStopped":24,"lastUpdateSubmitDate":66,"lastUpdatePostDateStruct":67,"startDateStruct":70,"completionDateStruct":72,"leadSponsor":74,"locationsCount":24},{"fullName":5,"class":6},"Nevsehir Haci Bektas Veli University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Artificial Intelligence Group","EXPERIMENTAL","In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.",[13],"Other: AI-supported case",{"label":15,"type":16,"description":17,"interventionNames":18},"Traditional teaching group","SHAM_COMPARATOR","For students in the control group (traditional instruction group), the case analysis course will be taught by the instructor in charge using a PowerPoint presentation prepared by the researchers.",[19],"Other: Control Group",[21,25],{"type":6,"name":22,"description":11,"armGroupLabels":23,"otherNames":24},"AI-supported case",[9],null,{"type":6,"name":26,"description":17,"armGroupLabels":27,"otherNames":24},"Control Group",[15],[29],{"name":30,"affiliation":5,"role":31},"AYSER DÖNER, Assistant Professor","PRINCIPAL_INVESTIGATOR",[33],{"name":30,"role":34,"phone":35,"phoneExt":24,"email":36},"CONTACT","+905052349338","ayser@nevsehir.edu.tr",{"type":31,"investigatorFullName":38,"investigatorTitle":39,"investigatorAffiliation":5,"oldNameTitle":24,"oldOrganization":24},"AYSER DÖNER","Assistant Professor","100640308","effect-of-ai-supported-case-analysis-on-nursing-students-100640308",false,"NCT07611383","Effect of AI-Supported Case Analysis on Nursing Students","The Effect of AI-Supported Case Analysis on Nursing Students' Knowledge, Learning Satisfaction Levels, and Clinical Decision-Making Skills","Inclusion Criteria\n\n* Students who will be active second-year nursing students during the spring semester of the 2025-2026 academic year,\n* Who have previously taken the theoretical course on the nursing process,\n* Who own a smartphone with an internet connection,\n* Who have previously prepared a patient-specific care plan for an inpatient in at least one internal medicine clinic will be included in the sample.\n\nExclusion Criteria:\n\n* Students who have not taken the elective course in oncology nursing,\n* Students who have not planned care for inpatients in internal medicine clinics during their previous clinical rotations,\n* Students who do not agree to participate in the study will not be included in the research",true,"ALL",{"count":50,"type":51},42,"ESTIMATED","INTERVENTIONAL",[54],"NA","The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction).",[57,58,59],"Nursing Students","Artificial Intelligence (AI)","Clinical Decision-Making in Nursing",[61,62,63,64],"nursing student","airtificial intelligence","nursing education","clinical decision","NOT_YET_RECRUITING","2026-05-22",{"date":68,"type":69},"2026-05-28","ACTUAL",{"date":71,"type":51},"2026-05-25",{"date":73,"type":51},"2026-05-30",{"name":5,"class":6}]