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Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care. Study 1

NCT06646120 · Status: WITHDRAWN · Type: OBSERVATIONAL

Last updated 2025-12-19

No results posted yet for this study

Summary

The goal of this observational study is to train and validate an AI-driven 3D camera system to estimate total body weight, ideal body weight and lean body weight in male and female adult volunteers of all ages. The main questions this study aims to answer are:

* What degree of accuracy of weight estimation can we achieve with an AI-driven 3D camera weight estimation system?
* Is this accuracy the same in adults of both sexes, all ages, and all body types (underweight, normal weight, overweight)? Participants will undergo some anthropometric measurements (height, mid-arm circumference, weight circumference, hip circumference, measured weight), a DXA scan (to measure lean body weight), and 3D imaging using a 3D camera.

There will be no interventions.

Conditions

  • Body Weights and Measures
  • Body Weight in the Overweight and Obese Class - I Population

Sponsors & Collaborators

  • Florida Atlantic University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-07-01
Primary Completion
2026-06-30
Completion
2026-06-30

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06646120 on ClinicalTrials.gov