Predicting complications from bone cement in joint surgeries using AI

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to predict the occurrence of bone cement implantation syndrome (BCIS) during arthroplasty surgeries by utilizing artificial intelligence methods. BCIS is a serious complication that can lead to significant intraoperative and postoperative morbidity and mortality. The study will collect data from patients who have undergone total or partial hip and knee arthroplasties using bone cement, focusing on identifying risk factors and improving patient outcomes through predictive analytics. The ultimate goal is to enhance patient safety and comfort in the postoperative period by standardizing care based on predictive insights.

Why it matters

Who can join: the full rules

Inclusion Criteria:

1. Total knee arthrplasties
2. Partial hip arthrplasty using cement
3. Total hip arthrplasty using cement
4. Patients ≥18 years old.

Exclusion Criteria:

Patients who do not want to participate in the study

Where it's running

• Ataturk University Faculty of Medicine
  Erzurum, Turkey (Türkiye) Recruiting

Study contacts

• Study coordinator: Muhammed Çağatay ENGIN, Associate professor
• Email: mcagatayengin@hotmail.com
• Phone: 05323301949

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.