An Artificial Intelligence-based Approach in Total Knee Arthroplasty: From Inflammatory Responses to Personalized Medicine
Recruiting · NCT06634654 · Interventional (participants receive a specific treatment) · Lead sponsor: Fondazione Policlinico Universitario Campus Bio-Medico
View the official record on ClinicalTrials.gov →Interventions studied
What this trial is about
Goal: The goal of this interventional study is to understand how multimodal preoperative data can predict outcomes after Total Knee Arthroplasty (TKA) and improve personalized medicine practices. Participant Population: The study will enroll 197 patients suffering from symptomatic, end-stage knee osteoarthritis, who are above 18 years old and have functionally intact ligaments. Main Questions: * Can multimodal preoperative data, genetic predisposition, and psycho-behavioral characteristics predict outcomes after TKA? * Can AI models effectively use this data to customize prostheses and surgical interventions, and predict patient outcomes? Comparison Group Information (If applicable): Not specified in the provided details. Participant Tasks: * Undergo TKA as per the normal clinical routine. * Participate in pre- and post-surgical follow-ups including: * Clinical-functional assessments. * Administration of clinical scores. * Collection of biological samples. * Biomechanical analysis using a stereophotogrammetric system. * Provide data for the comprehensive multimodal indexed database.
Who can take part
Inclusion criteria
- Symptomatic, end-stage knee osteoarthritis
- Ligaments functionally intact
- Age: older than18 years old
Exclusion criteria
- Neurological or other conditions affecting patients ability to join walking trials
- Inflammatory or infectious arthritis
- Previous articular fracture or knee surgery (excluding knee arthroscopy and meniscal surgery)
- Active tumors or pregnancy.
Where it is running
1 location listed.
- Fondazione Policlinico Universitario Campus Bio-Medico - Rome, Italy, Italy