MedTrace Logo

Position-Specific Lower Limb Performance and AI-Based Injury Risk Analysis in Young Male Basketball Players

NCT07677371 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 81

Last updated 2026-06-30

No results posted yet for this study

Summary

This observational study aims to evaluate lower extremity performance characteristics in young male basketball players according to their playing positions and to explore injury risk patterns using artificial intelligence (AI)-based analysis. Basketball requires frequent jumping, sprinting, rapid changes of direction, acceleration, deceleration, and single-leg movements, all of which place significant demands on lower extremity function.

Participants will undergo a single assessment session including anthropometric measurements and performance tests such as countermovement jump, reactive strength testing, single-leg performance tests, and agility assessments. Information regarding previous lower extremity injuries, training history, and playing position will also be collected.

The study will compare performance characteristics among different basketball positions, including guards, forwards, and centers. In addition, AI and machine learning techniques will be used to analyze the collected performance data and identify patterns associated with injury risk. The purpose of the AI analysis is not to diagnose injuries but to investigate whether combinations of performance variables can help identify athletes who may demonstrate higher-risk movement or performance profiles.

The findings may contribute to the development of position-specific training strategies, individualized performance monitoring, and evidence-based injury prevention approaches in youth basketball players.

Conditions

  • Basketball Performance
  • Sports Injury Risk
  • Lower Extremity Performance
  • Athletic Performance
  • Injury Prevention
  • Youth Basketball Players

Interventions

DIAGNOSTIC_TEST

Lower Extremity Performance Assessment

Participants will complete lower extremity performance tests including countermovement jump, reactive strength index testing, single-leg performance tests, and agility/change-of-direction assessments. Performance data will be analyzed using artificial intelligence-based methods to explore injury risk patterns.

Sponsors & Collaborators

  • Istanbul Gelisim University

    lead OTHER

Eligibility

Min Age
12 Years
Max Age
18 Years
Sex
MALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-05-15
Primary Completion
2026-05-22
Completion
2026-05-22

Countries

  • Turkey (Türkiye)

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07677371 on ClinicalTrials.gov