Implementation of Machine Learning Into Optical Pedography

NCT07451509 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 150

Last updated 2026-03-05

No results posted yet for this study

Summary

This study aims to evaluate the validity and reliability of a proposed plantar pressure assessment intrument based on an implementation of machine learning into optical pedography.

Conditions

  • Healthy
  • Foot
  • Pressure Area
  • Pressure Distribution

Interventions

DIAGNOSTIC_TEST

Optical pedography

Comparison of 5 alternating measures taken on podoscope and pedobarographic platform

Sponsors & Collaborators

  • Palacky University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-03-31
Primary Completion
2026-12-31
Completion
2027-12-31

Countries

  • Czechia

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 NCT07451509 on ClinicalTrials.gov