WithdrawnNot Applicable

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

Stopped: No funding received.

0Started 2025-07-01

Plain-language 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.

Who can participate

Age range18 Years

SexALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * Any willing volunteer. Exclusion Criteria: * Participants with a body weight exceeding the DXA machine capacity \>204kg (450lbs); * Pregnant participants; * Participants with medical conditions that could confound the study; * Participants with any metallic surgical implants; * Participants who have had an x-ray with contrast in the past week; * Participants who have taken calcium supplements in the 24 hours prior to the study.

What they're measuring

TBW estimation

Timeframe: Baseline

IBW estimation

Timeframe: Baseline

LBW estimation

Timeframe: Baseline

Trial details

NCT IDNCT06646120

SponsorFlorida Atlantic University

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2026-06-30

View on ClinicalTrials.gov More Body Weights and Measures trials