AI-based digital body measurements to estimate body composition
Official title: Validation and Development of Digital Anthropometry Methodologies.
Run by Dynamical Business and Science Society - DBSS International SAS · NCT07003516 · Data updated 2026-11-12
This project tests whether AI-powered mobile apps can estimate body composition from photos and measurements for adults aged 18–59.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 60 Years |
| Sex | All |
| Enrollment | 130 (estimated) |
| Sponsor | Dynamical Business and Science Society - DBSS International SAS Research network |
| Locations | 3 sites (Medellín, Antioquia and 2 other locations) |
| Status | Recruiting |
| Started | January 11, 2025 |
| Main results expected | June 2025 |
| Study ends | December 2025 |
| Registry record updated | June 4, 2025 |
| Trial ID | NCT07003516 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal participants are adults aged 18–59 who live in the participating cities, can provide informed consent, and can attend one on-site measurement session at a collaborating university.
✕Probably not a fit
People with body mass ≥160 kg, amputations, pregnancy, or implanted prostheses or implants are excluded and unlikely to benefit from these digital methods.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational project will collect standardized ISAK anthropometric measurements and digital images at multiple distances from adults recruited mainly from university students and staff in Medellín, Bogotá, and Pereira. Machine learning and data-mining methods will be applied to generate digital anthropometry estimates that are compared with traditional measurements. The sample is convenience-based, includes both sexes and varied activity levels, and is recruited via internal and open calls. The project also aims to increase scientific literacy among practitioners to support safer use of self-monitoring tools under professional guidance.
Why it matters
Potential benefit: If successful, this could make accurate, low-cost body-composition estimates widely available through mobile apps and support safer self-monitoring under professional guidance.
How similar studies have gone: Prior research has produced promising but variable results for AI-based digital anthropometry, so external validation and standardization are still needed.
Who can join: the full rules
Show full inclusion / exclusion 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.
Where it's running
-
Universidad CES
Medellín, Antioquia, Colombia Recruiting -
Fundación Universitaria del Área Andina
Bogotá, Bogota D.C., Colombia Recruiting -
Fundación Universitaria del Área Andina
Pereira, Risaralda Department, Colombia Recruiting
Study contacts
- Principal investigator: Diego A Bonilla, PhD — Research Division, DBSS International SAS.
- Study coordinator: Diego A Bonilla
- Email: dabonilla@dbss.pro
- Phone: +573203352050
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.