[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100617444":3},{"organization":4,"armGroups":7,"interventions":22,"overallOfficials":40,"centralContacts":45,"locations":27,"responsibleParty":50,"collaborators":27,"id":53,"slug":54,"hasResults":55,"nctId":56,"briefTitle":57,"officialTitle":58,"acronym":27,"eligibilityCriteria":59,"healthyVolunteers":55,"sex":60,"minAge":27,"maxAge":27,"enrollmentInfo":61,"targetDuration":27,"studyType":64,"phases":65,"briefSummary":67,"conditions":68,"keywords":70,"overallStatus":74,"whyStopped":27,"lastUpdateSubmitDate":75,"lastUpdatePostDateStruct":76,"startDateStruct":79,"completionDateStruct":81,"leadSponsor":83,"locationsCount":27},{"fullName":5,"class":6},"Obstetrics & Gynecology Hospital of Fudan University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Arm1: multi-disciplinary agents group","EXPERIMENTAL","generate diagnosis and treatment opinions from multi-disciplinary agents",[13],"Other: multi-disciplinary agents group",{"label":15,"type":16,"description":17,"interventionNames":18},"Arm2: real MDT group\u002F junior doctors group\u002Fjunior doctors after referring to agent results group","PLACEBO_COMPARATOR","generate diagnosis and treatment opinions from real MDT group\u002F junior doctors group\u002Fjunior doctors after referring to agent results group",[19,20,21],"Other: real MDT group","Other: junor doctor group","Other: junor doctor group with aid of MDT agents",[23,28,32,36],{"type":6,"name":24,"description":25,"armGroupLabels":26,"otherNames":27},"multi-disciplinary agents group","generate diagnosis and treatment opinions for each case from multi-disciplinary agents",[9],null,{"type":6,"name":29,"description":30,"armGroupLabels":31,"otherNames":27},"real MDT group","generate diagnosis and treatment opinions for each case from a real MDT team inclduing senior physicians from relevant departments, including gynecologic oncology, pediatrics, obstetrics, medical oncology and radiation oncology.",[15],{"type":6,"name":33,"description":34,"armGroupLabels":35,"otherNames":27},"junor doctor group","generate diagnosis and treatment opinions for each case from junior doctor who are residents from relevant departments, including gynecologic oncology, pediatrics, obstetrics, medical oncology and radiation oncology.",[15],{"type":6,"name":37,"description":38,"armGroupLabels":39,"otherNames":27},"junor doctor group with aid of MDT agents","generate diagnosis and treatment opinions for each case from junior doctor who are residents from relevant departments, including gynecologic oncology, pediatrics, obstetrics, medical oncology and radiation oncology after referring to the results from MDT agent .",[15],[41],{"name":42,"affiliation":43,"role":44},"Keqin Hua, Doctor","Gynecology and obstetrics hospital of fudan university","PRINCIPAL_INVESTIGATOR",[46],{"name":42,"role":47,"phone":48,"phoneExt":27,"email":49},"CONTACT","+86-021-33189900","huakeqinjiaoshou@163.com",{"type":44,"investigatorFullName":51,"investigatorTitle":52,"investigatorAffiliation":5,"oldNameTitle":27,"oldOrganization":27},"Keqin Hua","Doctor, Principal Investigator, Clinical Professor","100617444","multi-agent-llms-for-decision-support-in-cervical-cancer-during-pregnancy-100617444",false,"NCT07318701","Multi-agent LLMs for Decision Support in Cervical Cancer During Pregnancy","Multi-agent Large Language Models for Multidisciplinary Decision Support in Cervical Cancer During Pregnancy","Inclusion Criteria:\n\n1. Pathologically confirmed diagnosis of cervical cancer.\n2. Confirmed intrauterine pregnancy status via ultrasound.\n3. Patients receiving initial treatment.\n4. Agreement to participate in the study with signed informed consent.\n\nExclusion Criteria:\n\n1. Previous treatment received for cervical cancer during pregnancy.\n2. Pathological pregnancy states (e.g., ectopic pregnancy).\n3. Inability or unwillingness to provide signed informed consent.","FEMALE",{"count":62,"type":63},150,"ESTIMATED","INTERVENTIONAL",[66],"NA","The aim of this study is to develop an AI-assisted decision-making system based on multi-agent large language models and to evaluate its effectiveness and accuracy in the diagnosis and treatment of cervical cancer during pregnancy.",[69],"Cervical Cancer",[71,72,73],"Large Language Model","Cervical cancer during pregnancy","Multi-agent","NOT_YET_RECRUITING","2026-01-04",{"date":77,"type":78},"2026-01-06","ACTUAL",{"date":80,"type":63},"2026-01-01",{"date":82,"type":63},"2026-10-30",{"name":5,"class":6}]