Not Yet RecruitingNot Applicable

Implementation of Machine Learning Into Optical Pedography

Czechia150 participantsStarted 2026-03

Plain-language 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.

Who can participate

Age range18 Years

SexALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * A healthy individual with no absence of lower extremity * Aged ≥18 years * Willingness to participate and ability to follow the assessors instructions. Exclusion Criteria: * Presence of foot diseases alternating foot contact area * Cognitive or psychiatric disorders limiting cooperation * Lack of informed consent or non-compliance during imaging

What they're measuring

Criterion validity of foot area measurement

Timeframe: Day 1

Criterion validity of peak plantar pressure distribution

Timeframe: Day 1

Intrasession reliability of foot area measurement

Timeframe: Day 1

Intrasession reliability of mean peak pressure

Timeframe: Day 1

Trial details

NCT IDNCT07451509

SponsorPalacky University

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2026-12

Contact for this trial

Jonatan Dvořáček

+420731061089 jonatan.dvoracek01@upol.cz

View on ClinicalTrials.gov More Healthy trials