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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 2

NCT06646133 · Status: WITHDRAWN · Type: OBSERVATIONAL

Last updated 2025-12-19

No results posted yet for this study

Summary

The goal of this prospective crossover simulation study is to evaluate the accuracy and usability of a 3D camera weight estimation system during simulated emergency care in adult simulated patients, when used by emergency physicians. The main questions the study aims to answer are:

* to evaluate the accuracy of 3D camera weight estimation during simulated emergency care, when compared with standard methods
* to evaluate the usability of 3D camera weight estimation during emergency care, when compared with standard methods
* to evaluate the inter-user reliability of 3D camera weight estimates Volunteers for simulated patients will be required to have anthropometric measurements, a DXA scan, and 3D camera weight estimates.

Physician volunteers will need to participate in simulated emergency scenarios during which weight-based therapy must be administered.

There will be no interventions.

Conditions

  • Body Weights and Measures
  • Body Weight in the Overweight and Obese Class - I Population
  • Weight Estimation
  • Emergency Drug Dosing

Interventions

DIAGNOSTIC_TEST

3D camera weight estimate

Weight estimation using 3D camera system

DIAGNOSTIC_TEST

Standard methods of weight estimation

Standard methods of weight estimation will be used

Sponsors & Collaborators

  • Florida Atlantic University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2027-07-01
Primary Completion
2028-02-28
Completion
2028-02-28

Countries

  • United States

Study Locations

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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 NCT06646133 on ClinicalTrials.gov