Plain-English translation of NCT06634654 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
This study doesn't follow the usual testing phases — it may be an observational study or a different type of research.
This research study is testing whether artificial intelligence can help doctors better understand and predict how well patients will do after knee replacement surgery for severe arthritis. Researchers will collect many types of information about you—including your genes, stress levels, inflammation markers, and how you move—and use AI to create personalized predictions about your recovery. The goal is to identify which patients might struggle after surgery so doctors can offer better support and new treatments tailored to individual needs.
Even though knee replacement surgery is well-established, many patients remain unsatisfied afterward, experiencing ongoing pain and swelling. Additionally, some people need revision surgery years later due to loosening of the artificial joint. This study exists to understand why some patients do better than others and to use that knowledge to personalize care and improve outcomes for future patients.
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You would undergo knee replacement surgery as planned, and researchers would collect extensive information about you before, during, and after your operation. This includes blood samples and other biological markers, genetic information, imaging scans, questionnaires about your pain and mood, and tracking how well you move and function during recovery. The entire study lasts 5 years, with each participant involved for 12 months, during which you'll have multiple follow-up visits to monitor your progress.
AI-generated summary from trial data · Jun 9, 2026 · Not medical advice
Italy