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Wearable sensors and AI could predict leg injuries before they happen

NCT ID NCT07289828

Knowledge-focused Sponsor: Technical University of Munich Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 2 times

Summary

This study looked at 108 healthy sports science students to see if past leg injuries leave lasting changes in walking and running patterns. Participants wore small sensors on their legs while walking and running, and filled out questionnaires about their injury history. The goal was to use AI to find patterns linked to previous knee and ankle injuries, which could one day help predict and prevent future injuries.

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 simple, non-invasive way to predict and prevent lower extremity injuries using wearable sensors and AI.
What could go wrong
This is an early, completed study with 108 healthy students. The AI algorithm needs further validation in larger, more diverse groups before it can be used in practice.

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

Study facts

What this study's own registry entry says, in plain language.

Participants

108 people

The number who actually took part.

Started

Jan 2024

Finished

Jun 2024

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Sport students at TUM School of Medicine and Health

Ages

18 to 60 years

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Subjectively healthy participants * Age: \>18 years and under 60 years * German language skills sufficient to follow the exercise instructions and complete the questionnaires Exclusion Criteria: * Age \<18 years or \>60 years * Recent injuries and trauma to the lower extremities (less than 6 months ago) * Acute malignant disease * Acute inflammatory disease * Lack of German language skills * Lack of cardiopulmonary endurance for testing

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Conditions

The condition(s) this trial relates to.

ankle injury Knee Injuries

As listed by the trial registrant

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

Lower extremity injuries

Contacts and locations

Locations

  • TUM University Hospital

    Munich, Bavaria, 81675, Germany

More trials for these conditions

Other studies related to the condition(s) this trial covers.