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Predicting Bone Cement Implantation Syndrome Using Artificial Intelligence Methods

NCT06777160 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 250

Last updated 2025-01-15

No results posted yet for this study

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.

Conditions

  • Bone Cement Implantation Syndrome

Interventions

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.

Sponsors & Collaborators

  • Ataturk University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-09-08
Primary Completion
2025-03-20
Completion
2025-04-15

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06777160 on ClinicalTrials.gov