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Predicting Bone Cement Implantation Syndrome Using Artificial Intelligence Methods
Sponsor: Ataturk University
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.
Official title: Predicting the Development of Bone Cement Implantation Syndrome in Arthroplasty Operations Using Artificial Intelligence Methods
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
250
Start Date
2024-09-08
Completion Date
2025-04-15
Last Updated
2025-01-15
Healthy Volunteers
No
Conditions
Interventions
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.
Locations (1)
Ataturk University Faculty of Medicine
Erzurum, Turkey (Türkiye)