[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100651084":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":12,"locations":18,"responsibleParty":68,"collaborators":72,"id":75,"slug":76,"hasResults":77,"nctId":78,"briefTitle":79,"officialTitle":80,"acronym":10,"eligibilityCriteria":81,"healthyVolunteers":77,"sex":82,"minAge":83,"maxAge":84,"enrollmentInfo":85,"targetDuration":10,"studyType":88,"phases":10,"briefSummary":89,"conditions":90,"keywords":95,"overallStatus":40,"whyStopped":10,"lastUpdateSubmitDate":107,"lastUpdatePostDateStruct":108,"startDateStruct":111,"completionDateStruct":113,"leadSponsor":115,"locationsCount":116},{"fullName":5,"class":6},"Copenhagen Academy for Medical Education and Simulation","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Prospective Clinical Validation Cohort",null,"Pregnant women with singleton pregnancies in the third trimester (≥28+0 weeks' gestation) undergoing obstetric ultrasound examination. Participants undergo three blind ultrasound sweeps, and AI-generated predictions of fetal lie and presentation are compared with expert clinician assessment.",[13],{"name":14,"role":15,"phone":16,"phoneExt":10,"email":17},"Mary Le Ngo, MD, MD","CONTACT","+45 20773779","mary.van.anh.le.ngo.01@regionh.dk",[19,38,54],{"facility":20,"status":21,"city":22,"state":23,"zip":24,"country":25,"countryCode":26,"cosmosGeoPoint":27,"geoPoint":32,"contacts":33},"Nordsjællands Hospital, Department of Obstetrics and Gynecology","NOT_YET_RECRUITING","Hillerød","Capital Region","3400","Denmark","DK",{"type":28,"coordinates":29},"Point",[30,31],12.30081,55.92791,{"lat":31,"lon":30},[34],{"name":35,"role":15,"phone":36,"phoneExt":10,"email":37},"Gitte Hedermann, Associate Professor","+2520773779","gitte.hedermann.christensen@regionh.dk",{"facility":39,"status":40,"city":41,"state":42,"zip":43,"country":25,"countryCode":26,"cosmosGeoPoint":44,"geoPoint":48,"contacts":49},"Rigshospitalet - Department of Obstetrics and Gynecology","RECRUITING","Copenhagen","København Ø","2100",{"type":28,"coordinates":45},[46,47],12.56553,55.67594,{"lat":47,"lon":46},[50],{"name":51,"role":15,"phone":52,"phoneExt":10,"email":53},"Martin Tolsgaard, professor,, Medical doctor, Ph.D","+4520773779","martin.groennebaek.tolsgaard@regionh.dk",{"facility":55,"status":21,"city":56,"state":10,"zip":57,"country":25,"countryCode":26,"cosmosGeoPoint":58,"geoPoint":62,"contacts":63},"Slagelse Hospital, Department of Obstetrics and Gynecology","Slagelse","3450",{"type":28,"coordinates":59},[60,61],11.35459,55.40276,{"lat":61,"lon":60},[64],{"name":65,"role":15,"phone":66,"phoneExt":10,"email":67},"Kathinka Nyborg, MD","20773779","kany@regionsjaelland.dk",{"type":69,"investigatorFullName":70,"investigatorTitle":71,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Mary Le Ngo","Medical doctor",[73],{"name":74,"class":6},"Rigshospitalet, Denmark","100651084","clinical-validation-of-an-artificial-intelligence-system-for-de-termining-fetal-lie-and-position-in-3rd-trimester-100651084",false,"NCT07754071","Clinical Validation of an Artificial Intelligence System for De-termining Fetal Lie and Position in 3rd Trimester","Clinical Validation of an Artificial Intelligence System for Determining Fetal Lie and Position in 3rd Trimester","Inclusion Criteria:\n\n* Pregnant women aged ≥18 years.\n* Singleton pregnancy.\n* Gestational age ≥28+0 weeks.\n* Fetus in longitudinal lie (cephalic or breech presentation) as determined by the routine clinical ultrasound examination.\n* Able to understand Danish or English.\n* Able and willing to provide written informed consent.\n\nExclusion Criteria:\n\n* Multiple pregnancy.\n* Fetus in transverse lie.\n* Inability to provide written informed consent.","FEMALE","18 Years","70 Years",{"count":86,"type":87},150,"ESTIMATED","OBSERVATIONAL","This prospective clinical validation study aims to evaluate the diagnostic performance of an artificial intelligence (AI)-based navigational support system for determining fetal lie and presentation during third-trimester ultrasound examinations. Following routine clinical assessment by an expert clinician, three blind ultrasound sweeps will be obtained from each participant. The AI system will generate predictions of fetal lie and presentation from each sweep, which will be compared with the expert clinician's assessment as the reference standard. The study will also explore clinician perceptions of the system's usability and potential clinical value.",[91,92,93,94],"Pregnancy","Fetal Presentation","Breech Fetal Presentation","Cephalic Fetal Presentation",[96,97,98,99,100,101,102,103,104,105,106],"fetal lie","fetal presentation","obstetric ultrasound","artificial intelligence","AI-assisted ultrasound","Navigation system","blind ultrasound sweep","third trimester pregnancy","clinical validation","Diagnostic accuracy","fetal orientation","2026-08-04",{"date":109,"type":110},"2026-08-10","ACTUAL",{"date":112,"type":110},"2025-09-11",{"date":114,"type":87},"2026-10-01",{"name":5,"class":6},3]