Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care: Study 2

December 15, 2025 updated by: Florida Atlantic University

Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care: Study 2 - Measure the Accuracy and Speed of Weight Estimations Using a 3D Camera System During Simulated Medical Emergencies

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.

Study Overview

Status

Withdrawn

Conditions

Intervention / Treatment

Detailed Description

The performance of the 3D camera system needs to be evaluated in conditions in which it will be used in a clinical setting, but without the risk to patients. It also needs to be compared against other, standard, methods of weight estimation. In addition the downstream accuracy of drug doses, with the correct use of alternative dose scalars (such as ideal body weight or lean body weight) in patients with obesity needs to be evaluated.

In this prospective crossover simulation study, resident and attending emergency physician volunteers will conduct simulated emergency care on simulated patient volunteers. The physicians will be randomised to start with either 3D camera systems, or standard care systems. After completing the scenario they will perform a new simulation scenario on a different patient using standard methods of weight estimation (crossover). At the end of the data collection session, each physician will have performed four scenarios (two standard methods, two 3D camera methods). Each simulated patient will similarly have participated in two standard method scenarios and two 3D camera scenarios. Each simulated patient and each physician will only have a single encounter.

In this way the accuracy of weight estimation and drug dosing can be compared between the 3D camera system and standard methods. In addition, inter-rater reliability can be determined and compared between resident and attending physicians.

Study Type

Observational

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • United States
    • Florida
      • Boca Raton, Florida, United States, 33143
        • Florida Atlantic University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Simulated patients will be enrolled from students, staff and faculty at the Boca Raton campus of Florida Atlantic university.

Emergency physician participants will be enrolled from resident and attending emergency physicians in south Florida.

Description

Inclusion Criteria for simulated patients:

  • Any volunteer aged ≥18 years.

Exclusion Criteria for simulated patients:

  • 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.

Inclusion criteria for Emergency Physicians:

- Any willing emergency medicine resident or attending physician.

Exclusion criteria for Emergency Physicians:

- Any physical limitation to performing anthropometric measurements as part of simulation scenario.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Standard care weight estimation
Simulated patients in whom standard methods of weight estimation will be used.
Diagnostic test: Standard methods of weight estimation
Standard methods of weight estimation will be used
3D camera weight estimation
Simulated patients in whom 3D camera estimates of weight will be used.
Diagnostic test: 3D camera weight estimate
Weight estimation using 3D camera system

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Weight estimation accuracy
Time Frame: During the simulation (intervention) procedure
The accuracy of estimations of total body weight, ideal body weight and lean body weight will be compared against ground truth data, and against other weight estimation systems.
During the simulation (intervention) procedure
Weight estimation time
Time Frame: During the simulation (intervention) procedure
The time taken to obtain a weight estimate will be compared against other weight estimation systems.
During the simulation (intervention) procedure
Drug dose accuracy
Time Frame: During the simulation (intervention) procedure
The accuracy of drug doses calculated using estimated weight will be compared against a ground truth value, and compared with other weight estimation systems.
During the simulation (intervention) procedure

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Florida Atlantic University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

July 1, 2027

Primary Completion (Estimated)

February 28, 2028

Study Completion (Estimated)

February 28, 2028

Study Registration Dates

First Submitted

October 15, 2024

First Submitted That Met QC Criteria

October 16, 2024

First Posted (Actual)

October 17, 2024

Study Record Updates

Last Update Posted (Actual)

December 19, 2025

Last Update Submitted That Met QC Criteria

December 15, 2025

Last Verified

December 1, 2025

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 1791994(2)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

The data will be made available on request.

IPD Sharing Time Frame

Within 6 months after the completion of the study.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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