AI-Powered training cuts hamstring injury risk in pro footballers

NCT ID NCT07650006

Completed Prevention Sponsor: Yeditepe University Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study used artificial intelligence to analyze sprinting motions and identify football players at risk for hamstring injuries. Players at medium or high risk then followed a four-month exercise program called FUNBALL, which has been shown to reduce thigh muscle injuries by about 38%. The researchers also measured how the program affected speed, agility, balance, and thinking skills.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: FUNBALL Prevention Program (structured exercise intervention)
What this could lead to: If successful, this could provide a simple, evidence-based exercise program to reduce hamstring injuries in football players.
What could go wrong: This is a small, completed study with only 30 participants, so results may not apply to all players. The AI-based risk assessment is still experimental.

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

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

HEALTHY HEALTHY ADULT MALE

Contacts and locations

Locations

Istanbulspor Ömer Sarıalioglu Football Team Facilitu

Istanbul, Büyükçekmece, 34537, Turkey (Türkiye)

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