ClinicalTrials.gg
RecruitingNCT07003516Updated Jun 4, 2025

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

An observational study in Body Composition, sponsored by Dynamical Business and Science Society - DBSS International SAS. Recruiting at 3 sites in Colombia. Open to participants aged 18 Years to 60 Years. Per ClinicalTrials.gov, last updated 2025-06-04.

Sponsored by Dynamical Business and Science Society - DBSS International SAS · Observational

From the registry’s dates

  • Primary completion was expected by Jun 2025, 1 year 5 months ago, but the record still lists the study as recruiting.
  • Started Jan 2025; still recruiting 1 year 10 months later.
Study type
Observational
Model
Other
Time perspective
Cross-sectional
Enrollment
130
Ages
18 Years to 60 Years
Sex
All
01

Study 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.

Read the detailed description

Anthropometric measurements are commonly used to assess body composition, morphology, and health-related parameters in diverse populations. Although it is an economical and practical method in the field, the COVID-19 pandemic has propelled worldwide research on digital anthropometry. Machine learning, a fusion of artificial intelligence and data mining, promises to enhance the collection and analysis of data in applications that rely on cineanthropometric data.

Instead of replacing traditional methods, digital anthropometry represents a significant opportunity to improve the precision, validity, practicality, and implementation of self-monitoring procedures under professional supervision. The CyberMetron Project by DBSS aims to conduct additional research and increase scientific literacy among professionals to raise awareness about digital anthropometry.

Data will be collected from residents of both genders and with different levels of physical activity. The population sample will be obtained through internal calls to both students and administrative staff at participating universities and through an open call. Anthropometric variables of restricted and complete profiles established by ISAK will be measured, along with digital images taken at different distances from the lens. Regarding the sample size, it will be conducted by convenience (non-probabilistic), primarily considering university students, administrative staff, and other potentially eligible adults who respond to the study announcement and sign the informed consent.

Finally, all statistical analyses will be performed within the statistical computing environment R v4.2.3, with a statistical significance of P\<0.05. Pearson's correlation coefficient (r), adjusted determination coefficient (aR²), and Lin's concordance correlation coefficient (ρc) will be used for comparative analysis between main variables taken by conventional anthropometry and digital anthropometry. The coefficient of repeated measures correlation (rrm) will be employed to assess the strength of the linear association between variables, while the intraclass correlation coefficient (ICC), with its corresponding 95% confidence interval (95% CI), and Finn's coefficient (rF) will be used to evaluate reliability between evaluators. Additionally, the Bland-Altman analysis will be applied for the concordance analysis between conventional and digital anthropometry.

02

Conditions studied

  • Body Composition

Keywords

  • Kinanthropometry
  • Artificial intelligence
  • Data mining
  • Machine learning
  • Mobile Applications
  • 3D Image
03

In context

Lead sponsor

Dynamical Business and Science Society - DBSS International SAS is the lead sponsor of 8 studies on the registry; 3 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 60 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

The population sample is obtained through internal calls to both students and administrative staff of the participating universities, as well as through an open call, taking advantage of the collaboration agreement between DBSS International and Smart Fit.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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 to undergo evaluation of anthropometric measurements.

Exclusion criteria

Exclusion Criteria:

  • Body mass ≥ 160 kg
  • Amputations
  • Pregnant women.
  • People with implants or prostheses.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Other
Time perspective
Cross-sectional
Enrollment
130 participants (estimated)
Patient registry
No

Groups and cohorts

  • Sedentary

    It will be obtained by open call for both students and administrative staff at the CES University.

  • Physically active

    DBSS will open a call for participation to get a sample of personal trainers and physically active population that want to be involved as sample participants.

  • Athletes

    Under the collaboration framework between DBSS international SAS and ARTHROS Physiotherapy and Exercise Center, a sample of professional athletes from different sports disciplines will be invited to participate.

06

What researchers measure

Primary outcomes

  1. Anthropometric measurements

    Anthropometric measurements of restricted and complete profile established by ISAK will be taken, specifically the basic measurements, perimeters (cm), lengths (cm) and diameters (cm).

    Time frame: 40 Minutes

  2. Body composition and morphology by digital anthropometry

    The evaluation will be performed using a mobile application that processes standardized frontal and lateral photographs as input. Participants will assume the ISAK anatomical position, which corresponds to standing upright with relaxed arms at sides (hands in neutral position) and feet positioned at biacromial width (aligned with the application's frame markers). After sufficient processing time for automated report generation, we will export data to the participant's designated file and store the generated 3D avatar.

    Time frame: 15 Minutes

Secondary outcomes

  1. Measurements of dual-energy X-ray absorptiometry

    Estimation of fat mass and fat-free mass by DXA will be used as the reference method.

    Time frame: 10 Minutes

07

Study locations

3 of 3 sites recruiting
  • Universidad CES
    Medellin, Antioquia 050021, Colombia
    Recruiting
  • Fundación Universitaria del Área Andina
    Pereira, Risaralda 110231, Colombia
    Recruiting
  • Fundación Universitaria del Área Andina
    Bogota, 111221, Colombia
    Recruiting
08

References and documents

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Jan 2025 (actual). Primary completion is estimated for Jun 2025, 5 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Feb 21, 2025
First posted
Jun 4, 2025
StartActual
Jan 11, 2025
Primary completionEst.
Jun 2025
CompletionEst.
Dec 2025
Last update
Jun 4, 2025
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jun 4, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07003516
Lead sponsor
Dynamical Business and Science Society - DBSS International SAS
Collaborators
CES University, Universidad de Córdoba, ARTHROS Centro de Fisioterapia y Ejercicio
Responsible party
Sponsor
First posted
Jun 4, 2025
Start date
Jan 11, 2025
Primary completion
Jun 2025 (estimated)
Completion
Dec 2025 (estimated)
Last update
Jun 4, 2025

Study contacts

Diego A Bonilla
Contact
dabonilla@dbss.pro
+573203352050
Diego A Bonilla, PhD
principal investigator · Research Division, DBSS International SAS.
Jorge L Petro, PhD
study chair · Research Division, DBSS International SAS

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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