AI could revolutionize knee replacements by predicting recovery
NCT ID NCT06634654
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study aims to see if artificial intelligence can use a patient's genetics, biomechanics, and psychology to predict how well they will recover after total knee replacement. Researchers will enroll 197 adults with severe knee osteoarthritis and follow them for a year. The goal is to personalize surgical techniques and rehabilitation for better outcomes.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this could lead to more personalized knee replacement surgeries, improving recovery and long-term outcomes for patients.
What could go wrong
This is an early-stage observational study, not testing a new treatment. The AI models may not accurately predict outcomes, and results may not apply to all patients.
Disclaimer
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This is a summary of
the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Fondazione Policlinico Universitario Campus Bio-Medico
RECRUITINGRome, Italy, 00128, Italy
Contact