AI tackles ankle injuries: new study profiles risk in footballers
NCT ID NCT07421492
First seen Feb 20, 2026 · Last updated May 12, 2026 · Updated 10 times
Summary
This study looks at balance in amateur football players with chronic ankle instability compared to those without. Researchers used force platforms to measure sway and stability, then applied machine learning to see if they could identify at-risk players based on movement data alone. The goal is to create better, objective tools for injury prevention.
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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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Locations
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Iğdır University
Iğdır, Turkey (Türkiye)
Conditions
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