NCT07003516 Validation of Artificial Intelligence-based Digital Anthropometry Applications for Estimating Body Composition.
| NCT ID | NCT07003516 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Dynamical Business and Science Society - DBSS International SAS |
| Condition | Body Composition |
| Study Type | OBSERVATIONAL |
| Enrollment | 130 participants |
| Start Date | 2025-01-11 |
| Primary Completion | 2025-06 |
Trial Parameters
Eligibility Fast-Check
Enter your details for a quick preliminary check. This does not replace medical advice.
Brief Summary
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.
Eligibility Criteria
Inclusion Criteria: * People over 18 years of age (under 60 years of age) * Persons born and living in the cities of the participating universities * Signed informed consent to undergo evaluation of anthropometric measurements. Exclusion Criteria: * Body mass ≥ 160 kg * Amputations * Pregnant women. * People with implants or prostheses.