[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100471996":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":18,"locations":24,"responsibleParty":41,"collaborators":10,"id":44,"slug":45,"hasResults":46,"nctId":47,"briefTitle":48,"officialTitle":49,"acronym":10,"eligibilityCriteria":50,"healthyVolunteers":51,"sex":52,"minAge":53,"maxAge":54,"enrollmentInfo":55,"targetDuration":10,"studyType":58,"phases":10,"briefSummary":59,"conditions":60,"keywords":10,"overallStatus":26,"whyStopped":10,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":74,"completionDateStruct":76,"leadSponsor":78,"locationsCount":79},{"fullName":5,"class":6},"Union Hospital, Tongji Medical College, Huazhong University of Science and Technology","OTHER",[8,12,15],{"label":9,"type":10,"description":11,"interventionNames":10},"Lung cancer group",null,"Participants with lung cancer\u002Fpulmonary nodules",{"label":13,"type":10,"description":14,"interventionNames":10},"Stomach cancer group","Participants with Stomach cancer\u002FStomach lesion",{"label":16,"type":10,"description":17,"interventionNames":10},"Colorectal cancer group","Participants with Colorectal cancer\u002FColorectal lesion",[19],{"name":20,"role":21,"phone":22,"phoneExt":10,"email":23},"Yang Jin","CONTACT","15107177084","whuhjy@126.com",[25],{"facility":5,"status":26,"city":27,"state":28,"zip":29,"country":30,"countryCode":31,"cosmosGeoPoint":32,"geoPoint":37,"contacts":38},"RECRUITING","Wuhan","Hubei","430000","China","CN",{"type":33,"coordinates":34},"Point",[35,36],114.26667,30.58333,{"lat":36,"lon":35},[39],{"name":40,"role":21,"phone":10,"phoneExt":10,"email":10},"Yang Jin, MD",{"type":42,"investigatorFullName":20,"investigatorTitle":43,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Professor","100471996","artificial-intelligence-system-for-assessment-of-tumor-risk-and-diagnosis-and-treatment-100471996",false,"NCT05426135","Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment","Development of an Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment Based on Multimodal Data Fusion Using Deep Learning Technology","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":56,"type":57},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.",[61,62,63,64,65,66,67,68,69],"Artificial Intelligence","Deep Learning","Lung Cancer","Lung; Node","Stomach Cancer","Colon Cancer","Cancer Risk","Cancer Screening","Cancer, Treatment-Related","2022-06-17",{"date":72,"type":73},"2022-06-21","ACTUAL",{"date":75,"type":73},"2022-06-01",{"date":77,"type":57},"2026-10",{"name":5,"class":6},1]