AI tackles ankle injuries: new study aims to predict risk in footballers
NCT ID NCT07421492
First seen Feb 20, 2026 · Last updated May 23, 2026 · Updated 12 times
Summary
This study looks at balance in amateur football players with chronic ankle instability (CAI) compared to those without. Researchers will use force platforms to measure how well players control their balance and then apply machine learning to see if they can identify instability patterns from these measurements alone. The goal is to develop better, objective ways to assess injury risk without relying only on self-reported symptoms.
Disclaimer
Read more
Show less
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.
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.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for CHRONIC ANKLE INSTABILITY, CAI are added.
Genom att skicka in godkänner du våra Användarvillkor
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
Genom att skicka in godkänner du våra Användarvillkor
Locations
-
Iğdır University
Iğdır, Turkey (Türkiye)
Conditions
Explore the condition pages connected to this study.