[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100643412":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":7,"centralContacts":13,"locations":19,"responsibleParty":36,"collaborators":7,"id":40,"slug":7,"hasResults":41,"nctId":42,"briefTitle":43,"officialTitle":44,"acronym":7,"eligibilityCriteria":45,"healthyVolunteers":41,"sex":46,"minAge":47,"maxAge":48,"enrollmentInfo":49,"targetDuration":52,"studyType":53,"phases":7,"briefSummary":54,"conditions":55,"keywords":57,"overallStatus":22,"whyStopped":7,"lastUpdateSubmitDate":62,"lastUpdatePostDateStruct":63,"startDateStruct":66,"completionDateStruct":68,"leadSponsor":70,"locationsCount":71},{"fullName":5,"class":6},"The Third Affiliated Hospital of Guangzhou Medical University","OTHER",null,[9],{"type":10,"name":11,"description":12,"armGroupLabels":7,"otherNames":7},"DIAGNOSTIC_TEST","Vision Transformer-Based End-to-End Ultrasound Artificial Intelligence Model","An end-to-end ultrasound AI model based on the Vision Transformer (ViT) architecture was developed for the diagnosis of placenta accreta spectrum (PAS) using standardized ultrasound video inputs. Ultrasound Video Acquisition Protocol: With the patient in the supine position, the operator scanned the lower abdomen using a conventional grayscale probe. Video recording was performed in gray-scale mode for approximately 20-30 seconds, ensuring that the entire scanning region from the lower uterine segment to the uterine fundus was comprehensively captured.",[14],{"name":15,"role":16,"phone":17,"phoneExt":7,"email":18},"Fang He, M.D, PhD","CONTACT","+86 13724831279","Gzhefang@gzhmu.edu.cn",[20],{"facility":21,"status":22,"city":23,"state":24,"zip":25,"country":26,"cosmosGeoPoint":27,"geoPoint":32,"contacts":33},"The Third Affiliated Hospital, Guangzhou Medical University","RECRUITING","Guangzhou","Guangdong","510150","China",{"type":28,"coordinates":29},"Point",[30,31],113.25,23.11667,{"lat":31,"lon":30},[34],{"name":35,"role":16,"phone":17,"phoneExt":7,"email":18},"Fang He, MD, PhD",{"type":37,"investigatorFullName":38,"investigatorTitle":39,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"SPONSOR_INVESTIGATOR","FANG HE","Chief Physician\u002FProfessor of the Obstetrics Department","100643412",false,"NCT07643090","Diagnostic Trial of a Vision Transformer-Based Ultrasound AI Model for Placenta Accreta Spectrum","Diagnostic Trial of Vision Transformer-Based End-to-End Ultrasound Artificial Intelligence Model for Assisting in the Diagnosis of Placenta Accreta Spectrum Disorders: An Investigator-Initiated Prospective Clinical Study","Inclusion criteria:\n\n1. Pregnant women aged between 18 and 45 years;\n2. Gestational age between 24 and 34 weeks;\n3. Pregnant women with a history of placenta previa;\n4. Pregnant women with an anterior placenta;\n5. Willingness to participate in the study and provision of written informed consent.\n\nExclusion criteria:\n\n1. Failure to provide written informed consent;\n2. Presence of severe complications that precluded continuation of pregnancy;\n3. Inability to comply with study procedures for other reasons.","FEMALE","18 Years","45 Years",{"count":50,"type":51},561,"ESTIMATED","12 Months","OBSERVATIONAL","This study develops an end-to-end Vision Transformer (ViT)-based artificial intelligence system for ultrasound-based diagnosis of placenta accreta spectrum (PAS), aiming to improve the accuracy and efficiency of prenatal screening using standardized ultrasound video inputs.",[56],"Placenta Accreta Spectrum",[56,58,59,60,61],"Ultrasonography","Artificial Intelligence","Prenatal Diagnosis","Vision Transformer","2026-06-08",{"date":64,"type":65},"2026-06-11","ACTUAL",{"date":67,"type":65},"2025-09-01",{"date":69,"type":51},"2027-12-31",{"name":38,"class":6},1]