AI could predict who struggles after ACL surgery
NCT ID NCT07284771
First seen Jan 11, 2026 · Last updated Jun 21, 2026 · Updated 25 times
Summary
This study uses machine learning to predict how well people recover after ACL surgery. Researchers will measure muscle strength and size, along with other factors, to identify patients who may not respond well to standard rehabilitation. The goal is to create a tool that helps doctors personalize rehab plans. About 182 participants will be followed for one year after surgery.
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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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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 a personalized rehab approach that helps more people return to sports safely after ACL surgery.
What could go wrong
This is an observational study, not a treatment trial, so it won't directly improve outcomes. The machine learning model may not work well in other hospitals or patient groups.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.