[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100575813":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":10,"centralContacts":20,"locations":26,"responsibleParty":42,"collaborators":10,"id":46,"slug":47,"hasResults":48,"nctId":49,"briefTitle":50,"officialTitle":51,"acronym":10,"eligibilityCriteria":52,"healthyVolunteers":48,"sex":53,"minAge":54,"maxAge":10,"enrollmentInfo":55,"targetDuration":58,"studyType":59,"phases":10,"briefSummary":60,"conditions":61,"keywords":63,"overallStatus":29,"whyStopped":10,"lastUpdateSubmitDate":67,"lastUpdatePostDateStruct":68,"startDateStruct":71,"completionDateStruct":73,"leadSponsor":75,"locationsCount":76},{"fullName":5,"class":6},"Ataturk University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Patients who underwent arthroplasty and cement was used",null,"For the operation of artificial intelligence modeling; First of all, the data to be entered into the system will be prepared. Some of the data will be entered manually (such as examination findings), some will be entered through the hospital information management system, and some will be converted into numerical form and entered manually (radiological reports). While data is being entered, critical criteria and panic values of each data will be introduced into the system. In this way, users will be warned when the system is activated.",[13],"Procedure: Collecting data from patients who underwent arthroplasty and cement was used",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":10},"PROCEDURE","Collecting data from patients who underwent arthroplasty and cement was used","Collecting data that may change in cement reaction before, during and after surgery from patients who underwent arthroplasty and cement use and taught it to artificial intelligence.",[9],[21],{"name":22,"role":23,"phone":24,"phoneExt":10,"email":25},"Muhammed Çağatay ENGIN, Associate professor","CONTACT","05323301949","mcagatayengin@hotmail.com",[27],{"facility":28,"status":29,"city":30,"state":10,"zip":31,"country":32,"countryCode":10,"cosmosGeoPoint":33,"geoPoint":38,"contacts":39},"Ataturk University Faculty of Medicine","RECRUITING","Erzurum","25240","Turkey (Türkiye)",{"type":34,"coordinates":35},"Point",[36,37],41.27694,39.90861,{"lat":37,"lon":36},[40],{"name":41,"role":23,"phone":24,"phoneExt":10,"email":25},"Muhammed ENGİN",{"type":43,"investigatorFullName":44,"investigatorTitle":45,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Muhammed Cagatay Engin","associate professor doctor","100575813","predicting-bone-cement-implantation-syndrome-using-artificial-intelligence-methods-100575813",false,"NCT06777160","Predicting Bone Cement Implantation Syndrome Using Artificial Intelligence Methods","Predicting the Development of Bone Cement Implantation Syndrome in Arthroplasty Operations Using Artificial Intelligence Methods","Inclusion Criteria:\n\n1. Total knee arthrplasties\n2. Partial hip arthrplasty using cement\n3. Total hip arthrplasty using cement\n4. Patients ≥18 years old.\n\nExclusion Criteria:\n\nPatients who do not want to participate in the study","ALL","18 Years",{"count":56,"type":57},250,"ESTIMATED","12 Months","OBSERVATIONAL","This study aims to predict the development of bone cement syndrome, which may develop due to polymethylmethacrylate cement used to adhere the prosthesis to the bone in arthroplasty surgeries, which may cause intraoperative and postoperative mortality and morbidity, using artificial intelligence methods and to provide a sustainable life comfort to patients in the postoperative period with the standardization predicted in the long term.",[62],"Bone Cement Implantation Syndrome",[64,65,66],"CEMENT REACTION","ARTIFICIAL INTELLIGENCE","ARTHROPLASTY","2025-01-10",{"date":69,"type":70},"2025-01-15","ACTUAL",{"date":72,"type":70},"2024-09-08",{"date":74,"type":57},"2025-04-15",{"name":5,"class":6},1]