[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100640988":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":19,"centralContacts":24,"locations":30,"responsibleParty":46,"collaborators":50,"id":58,"slug":59,"hasResults":60,"nctId":61,"briefTitle":62,"officialTitle":63,"acronym":10,"eligibilityCriteria":64,"healthyVolunteers":60,"sex":65,"minAge":66,"maxAge":10,"enrollmentInfo":67,"targetDuration":10,"studyType":70,"phases":10,"briefSummary":71,"conditions":72,"keywords":75,"overallStatus":33,"whyStopped":10,"lastUpdateSubmitDate":84,"lastUpdatePostDateStruct":85,"startDateStruct":88,"completionDateStruct":90,"leadSponsor":92,"locationsCount":93},{"fullName":5,"class":6},"Rigshospitalet, Denmark","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Pregnant women attending routine second-trimester scan",null,"Pregnant women aged ≥18 years attending routine second-trimester scan (and scheduled transvaginal cervical assessment per local protocol\u002Fworkflow).",[13],"Other: Cervical ultrasound image acquisition",[15],{"type":6,"name":16,"description":17,"armGroupLabels":18,"otherNames":10},"Cervical ultrasound image acquisition","Acquisition of cervical ultrasound images with variation in image acquisition parameters.",[9],[20],{"name":21,"affiliation":22,"role":23},"Martin G Tolsgaard, MD, PhD, DMSc","Department of Obstetrics and Gynecology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark","STUDY_CHAIR",[25],{"name":26,"role":27,"phone":28,"phoneExt":10,"email":29},"Emilie Pi F Sejer, MD","CONTACT","0045 28890690","emilie.pi.fogtmann.sejer.01@regionh.dk",[31],{"facility":32,"status":33,"city":34,"state":10,"zip":35,"country":36,"countryCode":37,"cosmosGeoPoint":38,"geoPoint":43,"contacts":44},"Rigshospitalet, Copenhagen Univeristy Hospital","RECRUITING","Copenhagen","2100","Denmark","DK",{"type":39,"coordinates":40},"Point",[41,42],12.56553,55.67594,{"lat":42,"lon":41},[45],{"name":26,"role":27,"phone":28,"phoneExt":10,"email":29},{"type":47,"investigatorFullName":48,"investigatorTitle":49,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Emilie Pi Fogtmann Sejer","Principal Investigator",[51,54,56],{"name":52,"class":53},"Department of Computer Science, University of Copenhagen, Denmark","UNKNOWN",{"name":55,"class":6},"Technical University of Denmark",{"name":57,"class":53},"Sundhedsdonationer","100640988","the-impact-of-image-acquisition-in-cervical-ultrasound-on-ai-based-prediction-of-preterm-birth-in-clinical-practice-100640988",false,"NCT07598097","The Impact of Image Acquisition in Cervical Ultrasound on AI-Based Prediction of Preterm Birth in Clinical Practice","The Impact of Image Acquisition in Cervical Ultrasound on AI-Based Prediction of Preterm Birth in Clinical Practice: A Prospective Observational Study","Inclusion Criteria:\n\n* Pregnant women aged ≥18 years\n* Attending routine second-trimester scan (and scheduled transvaginal cervical assessment per local protocol\u002Fworkflow)\n\nExclusion Criteria:\n\n* Absence of transvaginal cervical assessment at the second-trimester scan\n* Missing follow-up data on pregnancy outcome (gestational age at delivery)\n* Inadequate image quality or missing required cervical ultrasound image","FEMALE","18 Years",{"count":68,"type":69},2000,"ESTIMATED","OBSERVATIONAL","This study prospectively evaluates whether the performance of an already-developed artificial intelligence (AI) model for predicting spontaneous preterm birth changes when cervical ultrasound images are obtained using different ultrasound image settings.\n\nThe primary research question is whether the AI model performs differently across images acquired with different imaging settings.",[73,74],"Preterm Birth","Artificial Intelligence (AI) in Diagnosis",[76,77,78,79,80,81,82,83],"Preterm birth","Premature birth","Artificial intelligence","Deep learning","Image acquisition","Diagnostic accuracy","Cervical ultrasound","Prospective validation","2026-05-19",{"date":86,"type":87},"2026-05-20","ACTUAL",{"date":89,"type":87},"2026-03-11",{"date":91,"type":69},"2027-02",{"name":5,"class":6},1]