[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"diagnostic-reasoning\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:diagnostic-reasoning":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,51],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":30,"overallStatus":38,"whyStopped":4,"lastUpdateSubmitDate":39,"lastUpdatePostDateStruct":40,"startDateStruct":43,"completionDateStruct":45,"leadSponsor":47,"locationsCount":50},"100651523","effect-of-agent-assisted-llm-assisted-and-traditional-workflows-on-physician-admission-diagnosis-100651523",false,"NCT07760051","Effects of Agent-assisted, LLM-assisted and Traditional Workflows on Diagnosis and Management Planning at Admission","Effects of Agent-assisted, LLM-assisted and Traditional Workflows on Diagnosis and Management Planning at Admission: A Randomized Controlled Study","Inclusion Criteria\n\n* Hold a Medical Practitioner Qualification Certificate and\u002For Medical License, or be a recognized standardized resident physician; able to independently read electronic medical records, laboratory and imaging reports on an HIS.\n* Currently engaged in clinical work in internal medicine or surgery at one of the 15 participating hospitals.\n* Able to complete the case assessment in one continuous hour without breaks.\n* Able to participate remotely under video proctoring, with a stable internet connection and a working camera.\n* Voluntarily agree to participate and sign the informed consent form, including the declaration not to use unauthorized AI tools during the assessment.\n* Have not participated in case drafting, review, rubric development, or any activity that may leak the reference standard.\n\nExclusion Criteria\n\n* Have previously accessed the official test cases or reference standard of this study.\n* Unable to complete the training module, qualification test, or all experimental tasks.\n* Have conflicts of interest, e.g. participation in developing core algorithms of the tested system.\n* Unwilling to comply with remote proctoring, including keeping the camera on throughout.\n* Judged unsuitable by the investigators.",true,"ALL","18 Years",{"count":20,"type":21},180,"ESTIMATED","INTERVENTIONAL",[24],"NA","The goal of this clinical trial is to evaluate whether AI-assisted workflows improve physicians' admission diagnosis and management planning performance on standardized simulated inpatient cases, among practicing internal medicine and surgery physicians across all seniority levels and across three tiers of the Chinese healthcare system.\n\nThe main questions it aims to answer are:\n\n* Does the Agent-assisted workflow yield better structured admission diagnosis and management planning scores than standalone LLM assistance?\n* Does the Agent-assisted workflow outperform the traditional workflow without AI tools? Researchers will compare three parallel groups (traditional workflow group, LLM-assisted group, Agent-assisted group) to determine whether the Agent tool can improve diagnostic accuracy and efficiency.\n\nParticipants will:\n\n* Be recruited from 15 hospitals in China and participate remotely under video proctoring\n* Be randomly assigned to one of the three fixed workflows, with randomization stratified by hospital tier, specialty and seniority\n* Complete 6 anonymized simulated HIS admission cases within one hour\n* Submit structured answers for each case covering principal diagnosis, secondary diagnoses, differential diagnoses, diagnostic justification, next diagnostic or therapeutic steps, consultation and referral decisions, and diagnostic confidence\n* Have their operation logs and time consumption recorded automatically by the study platform",[27,28,29],"Clinical Decision Support Systems","Diagnostic Reasoning","Artificial Intelligence (AI)",[31,32,33,34,35,28,36,37],"AI agent","Large Language Model","Clinical Decision Support","Admission Diagnosis","Diagnostic Accuracy","Randomized Controlled Trial","Management Planning","NOT_YET_RECRUITING","2026-08-15",{"date":41,"type":42},"2026-08-18","ACTUAL",{"date":44,"type":21},"2026-08",{"date":46,"type":21},"2026-12",{"name":48,"class":49},"Second Affiliated Hospital, Zhejiang University, School of Medicine","OTHER",1,{"id":52,"slug":53,"hasResults":11,"nctId":54,"briefTitle":55,"officialTitle":55,"acronym":56,"eligibilityCriteria":57,"healthyVolunteers":11,"sex":17,"minAge":4,"maxAge":4,"enrollmentInfo":58,"targetDuration":4,"studyType":22,"phases":60,"briefSummary":61,"conditions":62,"keywords":65,"overallStatus":38,"whyStopped":4,"lastUpdateSubmitDate":73,"lastUpdatePostDateStruct":74,"startDateStruct":76,"completionDateStruct":78,"leadSponsor":80,"locationsCount":50},"100632785","the-effect-of-an-artificial-intelligence-supported-virtual-reality-simulation-on-nursing-students-holistic-care-skills-100632785","NCT07518199","The Effect of an Artificial Intelligence-Supported Virtual Reality Simulation on Nursing Students' Holistic Care Skills","AI-VRS","Inclusion Criteria:\n\n* Voluntary participation in the study,\n* Having enrolled for the first time in the courses HEM 402 Professional Practice I and HEM 404 Professional Practice II in the Department of Nursing, Faculty of Health Sciences,\n* Absence of eye conditions affecting depth perception, such as amblyopia (lazy eye), anisometropia(different refractive errors in each eye), and strabismus (squint). (Self- report is accepted.),\n* Academic performance score between 2.00 and 4.00.,\n\nExclusion Criteria:\n\n* Having received training in holistic care skills in addition to their undergraduate nursing degree,\n* Having experience with virtual simulation exercises focused on holistic care skills,\n* Holding a high school, foundation year or undergraduate degree in a health-related field,\n* Having difficulty understanding and speaking Turkish,\n\nCriteria for Exclusion from the Study:\n\n* The participant has not completed or has incompletely completed the required forms and scales,\n* The participant in the experimental group had not taken part in or completed the AI-supported virtual reality simulation,\n* Students in the control group did not take part in the educational case study,\n* Students in the experimental and control groups did not take part in the assessment case study,\n* The participant wishes to withdraw from the study,",{"count":59,"type":21},80,[24],"This study aims to evaluate the effect of artificial intelligence (AI)-supported virtual reality (VR) simulation on nursing students' holistic care skills. The study is a randomised controlled trial involving fourth-year nursing students, divided into an experimental and a control group. Whilst the experimental group will receive AI-supported VR simulation training, the control group will receive traditional case-based training. Outcomes to be assessed include decision-making, symptom identification, nursing diagnosis, simulation design and satisfaction with the training methods.",[63,64,28],"Nursing Students","Decision-Making",[66,67,68,69,70,71,72],"Artificial Intelligence","Simulation Training","Immersive Virtual Reality","Nursing Education","Holistic Care","Nursing Diagnoses","Educational Technology","2026-04-04",{"date":75,"type":42},"2026-04-08",{"date":77,"type":21},"2026-04",{"date":79,"type":21},"2026-05",{"name":81,"class":49},"Gazi University"]