[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100516276":3},{"organization":4,"armGroups":7,"interventions":26,"overallOfficials":10,"centralContacts":32,"locations":41,"responsibleParty":77,"collaborators":80,"id":86,"slug":87,"hasResults":88,"nctId":89,"briefTitle":90,"officialTitle":91,"acronym":10,"eligibilityCriteria":92,"healthyVolunteers":93,"sex":94,"minAge":95,"maxAge":10,"enrollmentInfo":96,"targetDuration":10,"studyType":99,"phases":10,"briefSummary":100,"conditions":101,"keywords":103,"overallStatus":43,"whyStopped":10,"lastUpdateSubmitDate":106,"lastUpdatePostDateStruct":107,"startDateStruct":110,"completionDateStruct":112,"leadSponsor":114,"locationsCount":115},{"fullName":5,"class":6},"Chinese Academy of Sciences","OTHER_GOV",[8,14,18,22],{"label":9,"type":10,"description":11,"interventionNames":12},"Beijing Obstetrics and Gynecology Hospital affiliated to Capital Medical University",null,"Beijing Obstetrics and Gynecology Hospital affiliated to Capital Medical University collects clinical information and ultrasound images of sagittal, NT and choroid plexus views of the fetus which was obtained from early pregnant women who underwent NT sweeps.",[13],"Other: Image quality control",{"label":15,"type":10,"description":16,"interventionNames":17},"Peking University Third Hospital","Peking University Third Hospital collects clinical information and ultrasound images of sagittal, NT and choroid plexus views of the fetus which was obtained from early pregnant women who underwent NT sweeps.",[13],{"label":19,"type":10,"description":20,"interventionNames":21},"Changsha Hospital for Maternal and Child Health Care","Changsha Hospital for Maternal and Child Health Care collects clinical information and ultrasound images of sagittal, NT and choroid plexus views of the fetus which was obtained from early pregnant women who underwent NT sweeps.",[13],{"label":23,"type":10,"description":24,"interventionNames":25},"Second Xiangya Hospital of Central South University","Second Xiangya Hospital of Central South University collects clinical information and ultrasound images of sagittal, NT and choroid plexus views of the fetus which was obtained from early pregnant women who underwent NT sweeps.",[13],[27],{"type":28,"name":29,"description":30,"armGroupLabels":31,"otherNames":10},"OTHER","Image quality control","The investigators identify the region of interest in the relevant section to give a conclusion on whether the image is standard or not, guiding clinicians to standardize the operation, and reducing the rate of misdiagnosis and underdiagnosis.",[9,19,15,23],[33,38],{"name":34,"role":35,"phone":36,"phoneExt":10,"email":37},"Di Dong, Ph.D","CONTACT","+86 13811833760","di.dong@ia.ac.cn",{"name":39,"role":35,"phone":10,"phoneExt":10,"email":40},"Yali Zang, Ph.D","yali.zang@ia.ac.cn",[42,56,62,71],{"facility":9,"status":43,"city":44,"state":10,"zip":10,"country":45,"countryCode":46,"cosmosGeoPoint":47,"geoPoint":52,"contacts":53},"RECRUITING","Beijing","China","CN",{"type":48,"coordinates":49},"Point",[50,51],116.39723,39.9075,{"lat":51,"lon":50},[54],{"name":55,"role":35,"phone":10,"phoneExt":10,"email":37},"Di Dong",{"facility":15,"status":43,"city":44,"state":10,"zip":10,"country":45,"countryCode":46,"cosmosGeoPoint":57,"geoPoint":59,"contacts":60},{"type":48,"coordinates":58},[50,51],{"lat":51,"lon":50},[61],{"name":55,"role":35,"phone":10,"phoneExt":10,"email":37},{"facility":19,"status":43,"city":63,"state":10,"zip":10,"country":45,"countryCode":46,"cosmosGeoPoint":64,"geoPoint":68,"contacts":69},"Changsha",{"type":48,"coordinates":65},[66,67],112.97087,28.19874,{"lat":67,"lon":66},[70],{"name":55,"role":35,"phone":10,"phoneExt":10,"email":37},{"facility":23,"status":43,"city":63,"state":10,"zip":10,"country":45,"countryCode":46,"cosmosGeoPoint":72,"geoPoint":74,"contacts":75},{"type":48,"coordinates":73},[66,67],{"lat":67,"lon":66},[76],{"name":55,"role":35,"phone":10,"phoneExt":10,"email":37},{"type":78,"investigatorFullName":55,"investigatorTitle":79,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Professor",[81,83,84,85],{"name":82,"class":28},"Beijing Obstetrics and Gynecology Hospital",{"name":15,"class":28},{"name":19,"class":28},{"name":23,"class":28},"100516276","quality-control-of-ultrasound-images-during-early-pregnancy-via-ai-100516276",false,"NCT06002412","Quality Control of Ultrasound Images During Early Pregnancy Via AI","Deep Learning-based Quality Control of Ultrasound Images During Early Pregnancy","Inclusion Criteria:\n\n* Women in early pregnancy who have detailed personal information and ultrasound images.\n* The ultrasound images should clearly show the fetus's median sagittal, NT, and choroid plexus views.\n\nExclusion Criteria:\n\n* Ultrasound images from women in mid to late pregnancy.\n* Ultrasound images that are unclear or blurry, making evaluation difficult.\n* Women who did not provide complete personal and medical information during the ultrasound scan.",true,"FEMALE","20 Years",{"count":97,"type":98},400,"ESTIMATED","OBSERVATIONAL","This research integrates artificial intelligence to enhance early pregnancy ultrasonography quality control, focusing on specific fetal sections. In collaboration with prominent medical institutions, the investigators have amassed extensive fetal ultrasound data. The investigators aim to develop a deep learning model that can accurately identify essential anatomical areas in ultrasound images and evaluate their quality. This tool is expected to significantly decrease misdiagnoses of conditions like Down Syndrome and neural system deformities by ensuring real-time image quality assessment.",[102],"Early Pregnancy",[102,104,105],"Ultrasound","Quality Control","2023-09-06",{"date":108,"type":109},"2023-09-08","ACTUAL",{"date":111,"type":109},"2023-09-01",{"date":113,"type":98},"2028-07-30",{"name":5,"class":6},4]