[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100624577":3},{"organization":4,"armGroups":7,"interventions":17,"overallOfficials":11,"centralContacts":22,"locations":28,"responsibleParty":46,"collaborators":11,"id":49,"slug":11,"hasResults":50,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":11,"eligibilityCriteria":54,"healthyVolunteers":55,"sex":56,"minAge":57,"maxAge":58,"enrollmentInfo":59,"targetDuration":11,"studyType":62,"phases":63,"briefSummary":65,"conditions":66,"keywords":11,"overallStatus":31,"whyStopped":11,"lastUpdateSubmitDate":68,"lastUpdatePostDateStruct":69,"startDateStruct":72,"completionDateStruct":74,"leadSponsor":76,"locationsCount":77},{"fullName":5,"class":6},"Fudan University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"AI-assisted screening","EXPERIMENTAL",null,[13],"Device: AI-assisted screening",{"label":15,"type":16,"description":11,"interventionNames":11},"Routine screening","NO_INTERVENTION",[18],{"type":19,"name":9,"description":20,"armGroupLabels":21,"otherNames":11},"DEVICE","The intervention group will undergo combined screening using AI-assisted ultrasound plus AI-assisted mammography",[9],[23],{"name":24,"role":25,"phone":26,"phoneExt":11,"email":27},"Ying Zheng","CONTACT","862164175590","j_shen@fudan.edu.cn",[29],{"facility":30,"status":31,"city":32,"state":33,"zip":34,"country":35,"cosmosGeoPoint":36,"geoPoint":41,"contacts":42},"Fudan University Shanghai Cancer Center","RECRUITING","Shanghai","Shaghai","021","China",{"type":37,"coordinates":38},"Point",[39,40],121.45806,31.22222,{"lat":40,"lon":39},[43],{"name":24,"role":25,"phone":44,"phoneExt":11,"email":45},"862164172290","zhengying@fudan.edu.cn",{"type":47,"investigatorFullName":24,"investigatorTitle":48,"investigatorAffiliation":5,"oldNameTitle":11,"oldOrganization":11},"PRINCIPAL_INVESTIGATOR","professor","100624577",false,"NCT07411443","AI-Enhanced Imaging in Population Breast Cancer Screening","Population-based Breast Cancer Screening Study Using AI-Assisted Imaging Technology","Inclusion Criteria:\n\n* women aged 35 to 69 years, who were attending the \"Two Cancers (Breast and Cervical Cancer) Screening\" project, and had no history of breast cancer, including in-situ cancer, or any other cancers in the previous five years.\n\nExclusion Criteria:\n\n* have serious cardiopulmonary insufficiency, liver or kidney insufficiency, or other systemic diseases, and a life expectancy of less than five years",true,"FEMALE","35 Years","69 Years",{"count":60,"type":61},16000,"ESTIMATED","INTERVENTIONAL",[64],"NA","Artificial Intelligence (AI)-assisted imaging technologies (including AI-assisted breast ultrasound and AI-assisted mammography) can effectively improve the accuracy and efficiency of breast imaging examinations, but their application in large-scale population-based breast cancer screening remains very limited.\n\nThis project aims to improve the effectiveness and feasibility of breast cancer screening by addressing the core issues and bottlenecks in population-based breast cancer screening. We will conduct a prospective cluster-controlled screening trial in the general population, with district-based cluster grouping. The intervention group will undergo combined screening using AI-assisted ultrasound plus AI-assisted mammography, while the control group will receive conventional screening: breast ultrasound for initial screening and mammography for secondary screening.\n\nBased on population screening practices, we will evaluate the effectiveness of AI-assisted imaging diagnostic technology in various technical aspects of actual screening and perform cost-effectiveness analyses. This study will investigate the application of AI-assisted breast imaging technology in population-based breast cancer screening, providing scientific evidence for the large-scale implementation of AI-assisted imaging technologies. Furthermore, by combining population screening practices with model simulations, we will explore multi-dimensional breast cancer screening strategies to optimize screening approaches and technologies for the Chinese population.",[67],"Breast Cancer Screening","2026-02-11",{"date":70,"type":71},"2026-02-13","ACTUAL",{"date":73,"type":71},"2025-01-01",{"date":75,"type":61},"2027-12-31",{"name":5,"class":6},1]