[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100566307":3},{"organization":4,"armGroups":7,"interventions":22,"overallOfficials":26,"centralContacts":30,"locations":37,"responsibleParty":53,"collaborators":10,"id":55,"slug":10,"hasResults":56,"nctId":57,"briefTitle":58,"officialTitle":58,"acronym":10,"eligibilityCriteria":59,"healthyVolunteers":60,"sex":61,"minAge":62,"maxAge":63,"enrollmentInfo":64,"targetDuration":10,"studyType":67,"phases":10,"briefSummary":68,"conditions":69,"keywords":10,"overallStatus":40,"whyStopped":10,"lastUpdateSubmitDate":79,"lastUpdatePostDateStruct":80,"startDateStruct":83,"completionDateStruct":85,"leadSponsor":87,"locationsCount":88},{"fullName":5,"class":6},"Union Hospital, Tongji Medical College, Huazhong University of Science and Technology","OTHER",[8,14,18],{"label":9,"type":10,"description":11,"interventionNames":12},"Lung cancer group",null,"Participants with lung cancer\u002Fpulmonary nodules",[13],"Other: No Intervention",{"label":15,"type":10,"description":16,"interventionNames":17},"Stomach cancer group","Participants with Stomach cancer\u002FStomach lesion",[13],{"label":19,"type":10,"description":20,"interventionNames":21},"Colorectal cancer group","Participants with Colorectal cancer\u002FColorectal lesion",[13],[23],{"type":6,"name":24,"description":24,"armGroupLabels":25,"otherNames":10},"No Intervention",[19,9,15],[27],{"name":28,"affiliation":5,"role":29},"Yang Jin","PRINCIPAL_INVESTIGATOR",[31,36],{"name":32,"role":33,"phone":34,"phoneExt":10,"email":35},"Juanjuan Xu","CONTACT","+86 15827125538","whuhjy@126.com",{"name":28,"role":33,"phone":10,"phoneExt":10,"email":10},[38],{"facility":39,"status":40,"city":41,"state":42,"zip":43,"country":44,"cosmosGeoPoint":45,"geoPoint":50,"contacts":51},"Wuhan Union Hospital","RECRUITING","Wuhan","Hubei","430000","China",{"type":46,"coordinates":47},"Point",[48,49],114.26667,30.58333,{"lat":49,"lon":48},[52],{"name":32,"role":33,"phone":10,"phoneExt":10,"email":10},{"type":54,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100566307",false,"NCT06653478","Development and Demonstration of Intelligent Assessment Based on Multi-modal Information Fusion for Tumor Risk and Diagnosis and Treatment","Inclusion Criteria:\n\n1. Participants with the suspected of lung cancer\u002Fnode, or stomach cancer\u002Flesion, or colorectal cancer\u002Fleision\n2. Participants that have signed informed consent.\n3. Participants with detailed electronic medical records, image records, pathological records, multi-omics information, and other important clinical diagnostic information.\n4. Healthy participants with no clinical diagnosis of lung cancer\u002Fnode, or stomach cancer\u002Flesion, or colorectal cancer\u002Fleision.\n\nExclusion Criteria:\n\n1. Participants with primary clinical and pathological data missing.\n2. Participants lost to follow-up.\n3. Participants with too poor medical image quality to perform segment and mark ROI accurately",true,"ALL","18 Years","75 Years",{"count":65,"type":66},3000,"ESTIMATED","OBSERVATIONAL","To improve the accuracy of risk prediction, screening and treatment outcome of cancer, we aim to establish a medical database that includes standardized and structured clinical diagnosis and treatment information, image features, pathological features, and multi-omics information and to develop a multi-modal data fusion-based technology system using artificial intelligence technology based on database.",[70,71,72,73,74,75,76,77,78],"Artificial Intelligence","Deep Learning","Lung Cancer","Lung; Node","Stomach Cancer","Colon Cancer","Cancer Risk","Cancer Screening","Cancer, Treatment-Related","2024-10-20",{"date":81,"type":82},"2024-10-22","ACTUAL",{"date":84,"type":82},"2022-06-01",{"date":86,"type":66},"2026-10-01",{"name":5,"class":6},1]