Validation of Artificial Intelligence-based Digital Anthropometry Applications for Estimating Body Composition.

Recruiting now

Conditions studied: Body Composition

In brief

Anthropometric measurements are commonly employed to evaluate body composition, morphology, and health-related parameters across diverse populations. While a cost-effective and field-friendly method, the COVID-19 pandemic has spurred research on digital anthropometry worldwide. Machine learning, a fusion of artificial intelligence and data mining, holds promise for enhancing data collection and analysis in Kinanthropometry applications. Rather than replacing traditional methods, digital anthropometry presents a significant opportunity to enhance accuracy, validity, practicality, and the implementation of self-monitoring procedures under professional guidance. The CyberMetron Project by DBSS aims to perform additional research and increase scientific literacy among practitioners for public awareness of digital anthropometry.

Key facts

Study ID
NCT07003516
Run by
Dynamical Business and Science Society - DBSS International SAS
People needed
130
Starts
2025-01-11
Expected to finish
2025-12-01
Last updated by the study team
2025-06-04

Who can join

Age: 18 and older, up to 60. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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