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An Artificial Intelligence-based Approach in Total Knee Arthroplasty: From Inflammatory Responses to Personalized Medicine

RecruitingNAAges 18 Years - anyAllFondazione Policlinico Universitario Campus Bio-M…
NCT06634654 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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 assessment

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📋 Eligibility rules (as published)
Inclusion Criteria: 1. Symptomatic, end-stage knee osteoarthritis 2. Ligaments functionally intact 3. Age: older than18 years old Exclusion Criteria: 1. Neurological or other conditions affecting patients ability to join walking trials 2. Inflammatory or infectious arthritis 3. Previous articular fracture or knee surgery (excluding knee arthroscopy and meniscal surgery) 4. Active tumors or pregnancy.
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What it tests

  • Total Knee Arthroplasty
  • Multifaceted diagnostic assessments
  • Follow-ups
  • Genetic screening
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Where

1 site
Fondazione Policlinico Universitario Campus Bio-Medico
Rome, Italy
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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