Using AI to personalize knee surgery for osteoarthritis patients
Official title: An Artificial Intelligence-based Approach in Total Knee Arthroplasty: From Inflammatory Responses to Personalized Medicine
Run by Fondazione Policlinico Universitario Campus Bio-Medico · NCT06634654 · Data updated 2026-11-12
This study is testing if using artificial intelligence to analyze different patient data can help personalize knee surgery for people with osteoarthritis and improve their recovery.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 197 (estimated) |
| Sponsor | Fondazione Policlinico Universitario Campus Bio-Medico Academic / other |
| Locations | 1 site (Rome, Italy) |
| Status | Recruiting |
| Started | October 14, 2024 |
| Main results expected | June 2026 |
| Study ends | December 2029 |
| Registry record updated | March 4, 2026 |
| Trial ID | NCT06634654 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults over 18 years old with symptomatic, end-stage knee osteoarthritis and functionally intact ligaments.
✕Probably not a fit
Patients with neurological conditions, inflammatory arthritis, previous knee surgeries, or active tumors may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This interventional study aims to utilize artificial intelligence to analyze multimodal preoperative data in order to predict outcomes for patients undergoing Total Knee Arthroplasty (TKA) due to knee osteoarthritis. By enrolling 197 patients, the study will collect a wide range of data, including genetic, biomechanical, and psychological factors, to create a comprehensive database. The goal is to develop predictive models that can customize surgical interventions and improve patient satisfaction post-surgery. Participants will undergo standard TKA procedures along with follow-up assessments to evaluate their recovery and outcomes.
Why it matters
Potential benefit: If successful, this approach could lead to improved surgical outcomes and higher patient satisfaction for those undergoing knee arthroplasty.
How similar studies have gone: While the use of AI in orthopedic surgery is emerging, this specific approach integrating multimodal data for personalized knee arthroplasty is relatively novel and has not been extensively tested.
Who can join: the full rules
Show full inclusion / exclusion criteria
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.
Where it's running
-
Fondazione Policlinico Universitario Campus Bio-Medico
Rome, Italy, Italy Recruiting
Study contacts
- Study coordinator: Umile Giuseppe Longo, MD, MSc, PhD
- Email: g.longo@policlinicocampus.it
- Phone: +39 06225418816
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.