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Lie Detector At the Gait: Artificial Intelligence Model

NCT06057272 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 60

Last updated 2025-03-19

No results posted yet for this study

Summary

The goal of this clinical trial is to obtain more consistent results with the use of repetitive neural networks in gait models and classification approaches in individuals applying forensic sciences. It was aimed to develop a decision support system for determining the walking imitations of individuals with explainable machine learning approaches on disability compensation in the field of Forensic Medicine.

Participants will be assessed regarding kinematic and temporospatial gait parameters, pain severity, and fatigue level.

Comparison group: Researchers will compare the patients applying to the forensic medicine department to those applying to the orthopedic department, and their healthy counterparts.

Conditions

  • Gait, Stumbling
  • Fracture Lower Leg
  • Imitates Movements

Sponsors & Collaborators

  • Hacettepe University

    lead OTHER

Principal Investigators

  • Semra Topuz, Prof · Hacettepe University

Eligibility

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

Timeline & Regulatory

Start
2023-10-30
Primary Completion
2024-06-30
Completion
2024-12-30

Countries

  • Turkey (Türkiye)

Study Locations

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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 NCT06057272 on ClinicalTrials.gov