Predicting Bone Cement Implantation Syndrome Using Artificial Intelligence Methods
Predicting the Development of Bone Cement Implantation Syndrome in Arthroplasty Operations Using Artificial Intelligence Methods
Ataturk University
250 participants
Sep 8, 2024
OBSERVATIONAL
Conditions
Summary
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.
Eligibility
Inclusion Criteria4
- Total knee arthrplasties
- Partial hip arthrplasty using cement
- Total hip arthrplasty using cement
- Patients ≥18 years old.
Exclusion Criteria1
- Patients who do not want to participate in the study
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Interventions
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.
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT06777160