AI analyzes Footballers' balance to predict ankle injuries
NCT ID NCT07421492
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looks at how amateur football players with chronic ankle instability balance differently from those without it. Researchers will use special balance tests and machine learning to see if they can identify at-risk players just from their movement data. The goal is to create a more objective way to assess injury risk, rather than relying only on questionnaires.
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 better, objective ways to identify football players at risk of ankle injuries, helping coaches and trainers prevent them.
What could go wrong
This is a small, early-stage study with only 28 participants. The machine-learning models may not work well in larger, more diverse groups of athletes.
Disclaimer
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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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Contacts and locations
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Locations
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Iğdır University
Iğdır, Turkey (Türkiye)