[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"artificial-intelligence-algorithms\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:artificial-intelligence-algorithms":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,44],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":4,"overallStatus":31,"whyStopped":4,"lastUpdateSubmitDate":32,"lastUpdatePostDateStruct":33,"startDateStruct":36,"completionDateStruct":38,"leadSponsor":40,"locationsCount":43},"100386546","virtual-biopsy-development-to-identify-patients-glioma-grade-at-the-chu-of-poitiers-using-magnetic-resonance-imaging-100386546",false,"NCT04313140","Virtual Biopsy Development to Identify Patient's Glioma Grade at the CHU of Poitiers Using Magnetic Resonance Imaging","MR3TGLIOBIOPSY","Inclusion Criteria:\n\n* Age≥ 18 years,\n* Patient with suspected glioma with prior imaging\n* Subject free, with legal protection guardianship or curatorship;\n* Enrollment in the French Social Security system;\n* Informed consent signed by the patient\n\nExclusion Criteria:\n\n* Any contraindication to an MRI examination\n* Legal protection, namely minors, persons deprived of their liberty by a judicial or administrative decision, persons residing in a health or social establishment, adults under legal protection and finally patients in emergency situations\n* Pregnant or lactating women, women of childbearing age who do not have effective contraception","ALL","18 Years",{"count":19,"type":20},500,"ESTIMATED","INTERVENTIONAL",[23],"NA","Glioma is a tumor of the central nervous system. These lesions are sorted with the WHO ranking regarding the tumoral oncotype. The tumoral MRI assessment is the first step before any medical decision. Currently, only anatomical biopsy can give the tumor grade definition and help to define the most adapted treatment.",[26,27,28,29,30],"Development of the Virtual Biopsy","Tumor Grade","Artificial Intelligence Algorithms","Clinical","Radiological","RECRUITING","2026-05-04",{"date":34,"type":35},"2026-05-08","ACTUAL",{"date":37,"type":35},"2021-02-22",{"date":39,"type":20},"2029-02",{"name":41,"class":42},"Poitiers University Hospital","OTHER",1,{"id":45,"slug":46,"hasResults":11,"nctId":47,"briefTitle":48,"officialTitle":48,"acronym":4,"eligibilityCriteria":49,"healthyVolunteers":50,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":51,"targetDuration":4,"studyType":53,"phases":4,"briefSummary":54,"conditions":55,"keywords":4,"overallStatus":31,"whyStopped":4,"lastUpdateSubmitDate":59,"lastUpdatePostDateStruct":60,"startDateStruct":62,"completionDateStruct":64,"leadSponsor":66,"locationsCount":69},"100614291","ai-facial-analysis-algorithm-to-screening-coronary-artery-disease-in-high-risk-community-population-100614291","NCT07277686","AI Facial Analysis Algorithm to Screening Coronary Artery Disease in High-Risk Community Population","Inclusion Criteria:\n\n* Age \\>= 18 years.\n* Community high-risk population, defined as individuals meeting at least one of the following criteria:\n\n  1. Diagnosed with Diabetes Mellitus;\n  2. Diagnosed with Hypertension;\n  3. Advanced age (\\> 65 years old).\n\nExclusion Criteria:\n\n* Prior confirmed diagnosis of Coronary Heart Disease (CAD), including clinically diagnosed CAD, history of Coronary Artery Bypass Grafting (CABG), or history of Percutaneous Coronary Intervention (PCI).\n* History of diagnosed Heart Failure.\n* Significant facial alterations or conditions that may interfere with AI image analysis, such as plastic surgery, severe facial trauma, or heavy makeup.\n* Refusal to participate in the study.",true,{"count":52,"type":20},1392,"OBSERVATIONAL","This study aims to evaluate the effectiveness of this facial image-based AI algorithm for screening CAD in high-risk community populations (specifically individuals with diabetes, hypertension, or aged over 65). The main objectives are:\n\n1. To verify if the AI algorithm can accurately distinguish between high-risk and low-risk groups by comparing the actual prevalence of CAD in these groups.\n2. To compare the CAD detection rate using this AI screening strategy against the natural detection rate in a real-world cohort.",[56,28,57,58],"Coronary Artery Disease (CAD)","Face","Screening","2026-01-01",{"date":61,"type":35},"2026-01-06",{"date":63,"type":35},"2025-12-11",{"date":65,"type":20},"2026-08-01",{"name":67,"class":68},"China National Center for Cardiovascular Diseases","OTHER_GOV",3]