AI could revolutionize knee replacements by predicting recovery

NCT ID NCT06634654

First seen Jun 27, 2026 ยท 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 โ€” 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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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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

Locations

  • Fondazione Policlinico Universitario Campus Bio-Medico

    RECRUITING

    Rome, Italy, 00128, Italy

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